{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-09-28T06:03:00.468Z","headline":"AI天气预报进军能源市场，谷歌以WeatherNext 3瞄准电网运营商","description":"谷歌最新AI天气预报模型WeatherNext 3可预测100米高空风速、云量和地表太阳辐射，并每小时更新一次。该模型面向能源交易商、电网运营商及风电和太阳能开发商，这些客户目前已在为同类数据向其他公司付费。","url":"https://www.aioga.com/news/cmtsgukrp032wrodi6i34y1xy/","mainEntityOfPage":"https://www.aioga.com/news/cmtsgukrp032wrodi6i34y1xy/","datePublished":"2026-09-08T09:27:29.000Z","dateModified":"2026-09-08T09:27:29.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.artificialintelligence-news.com/news/ai-weather-forecasting-google-weathernext-3-energy","https://aihot.news/items/cmtsgukrp032wrodi6i34y1xy"],"canonicalUrl":"https://www.aioga.com/news/cmtsgukrp032wrodi6i34y1xy/","directAnswer":{"@type":"Answer","text":"谷歌推出WeatherNext 3，可预测100米高空风速、云量和地表太阳辐射，并每小时更新全球预报，目标用户包括能源交易商、电网运营商以及风电和太阳能开发商。","url":"https://www.aioga.com/news/cmtsgukrp032wrodi6i34y1xy/","dateCreated":"2026-09-08T09:27:29.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"Artificial Intelligence News（网页） source article","url":"https://www.artificialintelligence-news.com/news/ai-weather-forecasting-google-weathernext-3-energy","datePublished":"2026-09-08T09:27:29.000Z","provider":{"@type":"Organization","name":"Artificial Intelligence News（网页）","url":"https://www.artificialintelligence-news.com/news/ai-weather-forecasting-google-weathernext-3-energy"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.news/items/cmtsgukrp032wrodi6i34y1xy","datePublished":"2026-09-08T09:27:29.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.news/items/cmtsgukrp032wrodi6i34y1xy"}}],"aggregationSource":"Artificial Intelligence News（网页）","originalPublisher":{"name":"Artificial Intelligence News（网页）","url":"https://www.artificialintelligence-news.com/news/ai-weather-forecasting-google-weathernext-3-energy"},"geoDeepAnswer":null,"article":{"id":"cmtsgukrp032wrodi6i34y1xy","slug":"cmtsgukrp032wrodi6i34y1xy","url":"https://www.aioga.com/news/cmtsgukrp032wrodi6i34y1xy/","title":"AI天气预报进军能源市场，谷歌以WeatherNext 3瞄准电网运营商","title_en":"","summary":"谷歌最新AI天气预报模型WeatherNext 3可预测100米高空风速、云量和地表太阳辐射，并每小时更新一次。该模型面向能源交易商、电网运营商及风电和太阳能开发商，这些客户目前已在为同类数据向其他公司付费。","source":"Artificial Intelligence News（网页）","sourceUrl":"https://www.artificialintelligence-news.com/news/ai-weather-forecasting-google-weathernext-3-energy","aiHotUrl":"https://aihot.news/items/cmtsgukrp032wrodi6i34y1xy","publishedAt":"2026-09-08T09:27:29.000Z","category":"行业动态","score":58,"selected":false,"articleBody":["Google’s newest AI weather forecasting model predicts wind speed at 100 metres above the ground, roughly the height of a modern wind turbine. It also forecasts cloud cover and how much sunlight reaches the surface, and it updates every hour. Energy traders, grid operators and wind and solar developers already pay other companies for that data. The introduction：https://deepmind.google/science/weathernext/ of WeatherNext 3 now puts Google in their market.","Google DeepMind and Google Research released：https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/ the model on September 3. It produces a global forecast every hour at up to five-kilometre resolution for surface variables such as temperature and moisture. The previous version, WeatherNext 2, worked on a 25-kilometre grid and refreshed every six hours. Google says the new energy variables are meant to help grid operators and developers predict how much power their wind and solar assets will generate, then match that against demand.","The consumer side of the launch has had most of the attention. WeatherNext 3 now powers weather results in Google Search, the Gemini app, Google Maps and the Google Maps Platform Weather API. Behind it sits an enterprise layer that matters more commercially. The same forecast data can be queried in BigQuery and Earth Engine or downloaded in bulk from Google Cloud Storage, with no model setup required by the customer.","Grid operators are running a system that has become harder to predict at both ends. On the generation side, renewables now account for most new capacity. S&P Global Market Intelligence’s US Grid Outlook 2026：https://www.spglobal.com/market-intelligence/en/news-insights/research/2026/07/us-grid-outlook-2026-renewables-surge-data-center-demand projects solar and energy storage as the primary sources of new capacity this year, at 51.2GW and 25.7GW respectively out of more than 90GW of planned additions.","Solar and wind generate according to the weather rather than demand, so each gigawatt added makes a short-term forecast more accurate.","On the consumption side, the new load is coming from AI. S&P Global identifies the spread of data centres across North America as a primary driver of the recent surge in electricity demand, forcing utilities to revise their load forecasts upward. Deloitte’s 2026 Power and Utilities Industry Outlook：https://www.deloitte.com/gr/en/Industries/power-utilities-renewables/perspectives/2026-power-and-utilities-industry-outlook.html projects peak demand growing by roughly 26% by 2035, with data centre demand alone potentially reaching 176GW, five times its 2024 level.","The cost of getting a forecast wrong is straightforward. If an operator underestimates how much wind power will arrive, it has to buy replacement electricity at short notice, usually from gas plants kept on expensive standby. If it overestimates, wind and solar farms end up being paid to switch off because the grid cannot absorb what they are producing. Both outcomes are expensive, and both are forecasting failures.","Selling weather forecasts to the energy sector is an established business. Vaisala, Solcast, DNV’s WindGEMINI and IBM’s HyperWatch all compete in it. So does Jua, a Swiss firm that claims its EPT-2 model beats Microsoft Aurora and DeepMind’s earlier GraphCast on accuracy while updating 24 times a day, against what it describes as a typical four updates a day among competitors.","Google’s advantage is reach. The same forecast appears as a table in BigQuery, a layer in Earth Engine, an API in Google Maps Platform and the default answer in Google Search. No specialist vendor has that spread, and the hourly refresh closes the update-frequency gap those vendors have used to differentiate themselves.","The incumbents have one technical argument left. Jua’s published position is that physics-based models such as ECMWF’s HRES still outperform purely data-driven AI models during record-breaking extreme weather, because physics models encode rules about how energy and mass move through the atmosphere, while AI models learn patterns from past data.","Jua sells a physics-constrained product, so the claim serves its own interests. It also describes the conditions grid operators worry about most, when a storm falls outside anything the model has seen in training.","The architectural claim behind WeatherNext 3 is that it learns from real observations instead of from simulations. Most AI weather models, WeatherNext 2 included, are trained on output from numerical weather prediction models, which are supercomputer-driven physics simulations that carry a six-hour data lag. That lag can introduce bias in fast-changing variables such as rain and surface temperature. WeatherNext 3 ingests live geostationary satellite imagery and trains directly on readings from individual weather stations.","The shift is real, though narrower than much of the coverage has suggested. Google’s own system diagram shows the model taking in one-hour satellite mosaics alongside traditional historical analysis. DeepMind senior research scientist Ilan Price told Bloomberg：https://www.bloomberg.com/news/articles/2026-09-03/deepmind-s-new-ai-weather-model-goes-hourly-for-power-markets the gain comes from not waiting for the next analysis and using the most recent information available instead.","Reporting puts the remaining data lag at three to four hours, down from about seven. Dependence on numerical weather prediction has been reduced, not removed.","The accuracy figures need similar care. Google reports improvements of up to 60% against NASA’s IMERG satellite product, 30% against MRMS radar and 10% against rain gauge readings at early lead times, measured using a standard scoring method for probability forecasts. Those are three separate baselines, and the percentages do not add together. The widely repeated claim of 50% better precipitation forecasting applies specifically to forecasts a day or more ahead. Every figure carries an “up to” qualifier, which makes each one a best case rather than a typical result.","Google published no independent third-party validation alongside the launch. It points instead to live evaluations by Brightband, whose leaderboard it cites in claiming WeatherNext 3 is the most accurate global weather model to date. A utility considering a switch away from a paid specialist will care more about performance in its own service territory, on its own assets, than about a global leaderboard position.","Google is selling forecasting tools into a grid problem its own industry helped create. The data centre build-out driving the load growth utilities are struggling to serve is led by the hyperscalers, Google among them, and Google has signed multi-gigawatt renewable procurement agreements to supply its own facilities.","Accurate prediction of wind and solar output is directly useful to a company matching large volumes of clean energy against a load that is both growing and variable. That is commercial logic, and it goes some way to explaining why the energy variables shipped in this release.","Google has not published pricing for enterprise access to WeatherNext 3, or said whether the BigQuery and Earth Engine data carries standard Cloud query charges or a separate licence. Utilities weighing a move away from a paid specialist will want that figure before they weigh any accuracy claim.","2025, more than 65,000 employees in its Corporate and Investment Bank were actively using the platform, while more than 90% of its engineers were using AI coding assistants.","The bank also said AI-based transaction screening allowed it to review more than twice the previous transaction volume while reducing manual operator checks by half.","Bank of America is using a generative AI-enabled system called EricaAssist with more than 18,000 customer service employees. The tool summarises why a customer is calling, retrieves relevant information, and recommends possible next steps while keeping the employee responsible for the interaction.","Bank of America said in July 2026 that EricaAssist can deliver contextual guidance in under three seconds and has reduced average call times by nearly one minute. The bank plans to extend the system to additional servicing scenarios and business lines later in 2026.","(Photo by Google：https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/)","See also: MIT AI forecasts extreme weather without historical data：https://www.artificialintelligence-news.com/news/mit-ai-forecasts-extreme-weather-without-historical-data/","Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo：https://www.ai-expo.net/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series and is co-located with other leading technology events, click here：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series for more information.","AI News is powered by TechForge Media：https://techforge.pub/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series. Explore other upcoming enterprise technology events and webinars here：https://techforge.pub/events/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series.","Dashveenjit Kaur：https://www.artificialintelligence-news.com/news/author/dashveenjit/","Retail & Logistics AI：https://www.artificialintelligence-news.com/categories/ai-in-action/retail-logistics-ai/, Service Industry AI：https://www.artificialintelligence-news.com/categories/ai-in-action/service-industry-ai/","Artificial Intelligence：https://www.artificialintelligence-news.com/categories/artificial-intelligence/, Governance, Regulation & Policy：https://www.artificialintelligence-news.com/categories/inside-ai/new_governance-regulation-and-policy/, Manufacturing & Engineering AI：https://www.artificialintelligence-news.com/categories/ai-in-action/manufacturing-engineering-ai/, Multimodal AI：https://www.artificialintelligence-news.com/categories/how-it-works/multimodal-ai/, Physical AI：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/, TechEx Events：https://www.artificialintelligence-news.com/categories/techex-events/","AI Business Strategy：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/, AI Market Trends：https://www.artificialintelligence-news.com/categories/inside-ai/ai-market-trends/, Artificial Intelligence：https://www.artificialintelligence-news.com/categories/artificial-intelligence/, Features：https://www.artificialintelligence-news.com/categories/features/, World of Work：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","Retail & Logistics AI：https://www.artificialintelligence-news.com/categories/ai-in-action/retail-logistics-ai/","AI in Action：https://www.artificialintelligence-news.com/categories/ai-in-action/","Sponsored Content：https://www.artificialintelligence-news.com/categories/sponsored-content/","All our premium content and latest tech news delivered straight to your inbox","AI News is part of TechForge：https://techforge.pub/"],"articleImages":[{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/09/Image-1.jpeg","alt":"","afterParagraph":10,"url":"/media/articles/cmtsgukrp032wrodi6i34y1xy/2dea4e770163f055.jpg"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/06/image-300x37.png","alt":"Banner for AI & Big Data Expo by TechEx 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MG Ship has introduced an AI route optimisation and carrier selection module as logistics deployments demonstrate rapid cost and time returns.","afterParagraph":30,"url":"/media/articles/cmtsgukrp032wrodi6i34y1xy/ab44c8321142f808.jpg"}],"mediaStatus":"ok","articleBodyZh":["谷歌最新的人工智能天气预报模型可以预测地面上方100米的风速，这大约是现代风力发电机的高度。它还可以预测云量和到达地表的阳光量，并且每小时更新一次。能源交易商、电网运营商以及风能和太阳能开发商已经为这些数据向其他公司付费。WeatherNext 3的推出：https://deepmind.google/science/weathernext/ 现在使谷歌进入了他们的市场。","谷歌DeepMind和谷歌研究团队于9月3日发布了该模型：https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/。该模型每小时生成一次全球预报，分辨率最高可达五公里，覆盖地表变量如温度和湿度。上一版本WeatherNext 2的网格为25公里，每六小时更新一次。谷歌表示，新的能源变量旨在帮助电网运营商和开发商预测其风能和太阳能资产的发电量，然后与需求匹配。","此次发布的消费者端受到了最多关注。WeatherNext 3现在为Google搜索、Gemini应用程序、Google Maps以及Google Maps平台天气API提供天气结果。其背后还有一个在商业上更重要的企业层。相同的预测数据可以在BigQuery和Earth Engine中查询，或从Google Cloud Storage中批量下载，客户无需设置模型。","电网运营商正在运行一个在两端都变得更难预测的系统。在发电端，可再生能源现在占了大部分新增容量。标普全球市场情报的《2026年美国电网展望》：https://www.spglobal.com/market-intelligence/en/news-insights/research/2026/07/us-grid-outlook-2026-renewables-surge-data-center-demand 预计今年新增容量的主要来源为太阳能和储能，分别为51.2GW和25.7GW，占计划新增容量90GW以上。","太阳能和风能的发电量取决于天气而非需求，因此每增加一吉瓦容量就使短期预测更准确。","在消费端，新的负荷来源于人工智能。标普全球指出，遍布北美的数据中心是近期电力需求激增的主要驱动因素，这迫使公用事业公司上调其负荷预测。德勤2026年《电力与公用事业行业展望》：https://www.deloitte.com/gr/en/Industries/power-utilities-renewables/perspectives/2026-power-and-utilities-industry-outlook.html 预测，到2035年峰值需求将增长约26%，仅数据中心的需求可能达到176GW，是2024年水平的五倍。","预测错误的代价很直接。如果运营商低估了风电的到来量，就必须在短时间内购买替代电力，通常来自昂贵备用的燃气电厂。如果高估，风能和太阳能电厂最终需要付费来停机，因为电网无法吸收它们产生的电力。两种结果都很昂贵，而且都是预测失败。","向能源行业销售天气预报是一项成熟的业务。Vaisala、Solcast、DNV的WindGEMINI以及IBM的HyperWatch都在竞争。瑞士公司Jua也参与其中，它声称其EPT-2模型在准确性上优于微软的Aurora和DeepMind早期的GraphCast，并且每天更新24次，而其竞争对手通常每天仅更新四次。","谷歌的优势在于覆盖面。相同的预测以表格形式出现在BigQuery中，Earth Engine的一个层，Google Maps Platform的API，以及Google搜索的默认答案。没有专业供应商拥有这样的覆盖面，每小时刷新也弥补了那些供应商用于区分自身的更新频率差距。","现有公司剩下的唯一技术争论点是：Jua的公开立场认为，在创纪录的极端天气情况下，基于物理的模型如ECMWF的HRES仍然优于纯数据驱动的人工智能模型，因为物理模型编码了能量和物质如何在大气中运动的规律，而人工智能模型则从过去的数据中学习模式。","Jua销售的是受物理约束的产品，因此这种说法符合其自身利益。它还描述了电网运营商最为担忧的情况，即当暴风超出模型训练中见过的任何情况时。","WeatherNext 3 背后的架构声称，它是从真实观测数据中学习，而不是从模拟数据中学习。大多数 AI 气象模型，包括 WeatherNext 2，在训练时都使用数值天气预报模型的输出，这些模型是由超级计算机驱动的物理模拟，但存在六小时的数据延迟。这种延迟可能会在像降雨和地表温度这样变化快速的变量中引入偏差。WeatherNext 3 则直接获取地球同步卫星的实时影像，并直接从各个气象站的读数中进行训练。","这种转变确实存在，但比大部分报道所说的要小得多。谷歌自己的系统图显示，该模型会同时接收一小时的卫星拼接影像以及传统的历史分析。DeepMind 高级研究科学家 Ilan Price 告诉 Bloomberg：https://www.bloomberg.com/news/articles/2026-09-03/deepmind-s-new-ai-weather-model-goes-hourly-for-power-markets，优势在于不必等待下一次分析，而是使用最新可用的信息。","报道称，剩余的数据延迟减至三到四小时，而此前约为七小时。对数值天气预报的依赖已减少，但尚未完全消除。","准确性数据同样需要谨慎对待。谷歌报告称，在早期预测时，相比 NASA 的 IMERG 卫星产品改进最多可达 60%，相比 MRMS 雷达到 30%，相比雨量计读数达到 10%，这些使用了标准的概率预测评分方法。这三者分别对应不同的基准，百分比不能相加。广泛传播的 50% 降水预测提升的说法，特指一日或更远的预测。每个数据都带有“最高可达”的限定词，这意味着每个都是最佳情况，而非典型结果。","谷歌在发布时未提供任何独立第三方验证。它转而引用 Brightband 的实时评估，并引用其排行榜来声称 WeatherNext 3 是迄今为止最准确的全球气象模型。公用事业公司在考虑是否从付费专用服务转向该模型时，更关心的是其自身服务区域和资产上的表现，而不是全球排行榜的位置。","谷歌正在将预测工具销售给其自身行业所创造的电网问题。驱动电力负荷增长的数据中心建设由大型云服务商引领，包括谷歌在内，而谷歌已签署了多千兆瓦的可再生能源采购协议，以供应其自身的设施。","对风能和太阳能输出的准确预测对于将大量清洁能源与不断增长且变化的负荷匹配的公司来说是直接有用的。这是商业逻辑，也在一定程度上解释了为什么本次发布中提供了这些能源变量。","谷歌尚未公布企业访问 WeatherNext 3 的定价，也未说明 BigQuery 和 Earth Engine 数据是否会收取标准的云查询费用或单独许可费。考虑放弃付费专业服务的公用事业公司会希望在衡量任何精度主张之前获得该价格信息。","到2025年，其企业和投资银行部门中有超过65,000名员工在积极使用该平台，同时有超过90%的工程师在使用 AI 编码助手。","该银行还表示，基于 AI 的交易筛查使其能够审查的交易量是之前的两倍多，同时将人工操作检查减少了一半。","美国银行正在使用一款名为 EricaAssist 的生成式 AI 系统，该系统已被 18,000 多名客户服务员工使用。该工具可以总结客户来电原因，检索相关信息，并推荐可能的下一步操作，同时保持员工对互动的责任。","美国银行在2026年7月表示，EricaAssist 可以在不到三秒钟内提供情境指导，并已将平均通话时间缩短近一分钟。该银行计划在2026年底将该系统扩展到更多的服务场景和业务线。","（图片来自谷歌：https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/）","另见：MIT 人工智能在没有历史数据的情况下预测极端天气：https://www.artificialintelligence-news.com/news/mit-ai-forecasts-extreme-weather-without-historical-data/","想从行业领袖那里了解更多关于人工智能和大数据的信息吗？请查看人工智能与大数据博览会：https://www.ai-expo.net/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series，此活动将在阿姆斯特丹、加利福尼亚和伦敦举行。这一综合性活动是TechEx的一部分：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series，并与其他领先科技活动同时举办，点击这里：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series 获取更多信息。","AI 新闻由 TechForge Media 提供动力：https://techforge.pub/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series。 在此探索其他即将举行的企业技术活动和网络研讨会：https://techforge.pub/events/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series。","Dashveenjit Kaur：https://www.artificialintelligence-news.com/news/author/dashveenjit/","零售与物流人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/retail-logistics-ai/，服务行业人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/service-industry-ai/","人工智能：https://www.artificialintelligence-news.com/categories/artificial-intelligence/，治理、监管与政策：https://www.artificialintelligence-news.com/categories/inside-ai/new_governance-regulation-and-policy/，制造与工程人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/manufacturing-engineering-ai/，多模态人工智能：https://www.artificialintelligence-news.com/categories/how-it-works/multimodal-ai/，物理人工智能：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/，TechEx 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3，可预测100米高空风速、云量和地表太阳辐射，并每小时更新全球预报，目标用户包括能源交易商、电网运营商以及风电和太阳能开发商。","background":"WeatherNext 3对温度、湿度等地表变量提供最高五公里分辨率的全球预报，数据可在BigQuery和Earth Engine查询，也可从Google Cloud Storage批量下载。","viewpoint":"Aioga 判断：WeatherNext 3使谷歌进入已有多家供应商参与的能源天气数据市场。企业无需自行设置模型即可查询或下载预报数据，值得关注其能否转化为实际采用。","implications":"可能影响：新模型可能为能源行业增加一种天气数据选择，但产品发布不代表预测效果、客户采用或商业收入已经得到验证。相关用户需要评估精度、更新频率和数据接入方式。","nextStep":"后续观察：应关注谷歌是否公布能源行业的客户采用、定价与部署信息，并留意WeatherNext 3在风电和太阳能发电预测中的表现是否获得独立评估。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-09-08T10:14:10.285Z","sourceHash":"3ff3c1b66a805f9d","review":{"approved":true,"groundedness":97,"clarity":91,"duplicationRisk":18,"blockingIssues":[],"notes":["“值得关注”“可能影响”及后续观察均明确作为判断或建议表达，没有冒充已验证事实。","可选措辞优化：将“最高五公里分辨率”改为“最高可达五公里分辨率”，与来源中的“up to five-kilometre 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3的推出：https://deepmind.google/science/weathernext/ 现在使谷歌进入了他们的市场。","谷歌DeepMind和谷歌研究团队于9月3日发布了该模型：https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/。该模型每小时生成一次全球预报，分辨率最高可达五公里，覆盖地表变量如温度和湿度。上一版本WeatherNext 2的网格为25公里，每六小时更新一次。谷歌表示，新的能源变量旨在帮助电网运营商和开发商预测其风能和太阳能资产的发电量，然后与需求匹配。","此次发布的消费者端受到了最多关注。WeatherNext 3现在为Google搜索、Gemini应用程序、Google Maps以及Google Maps平台天气API提供天气结果。其背后还有一个在商业上更重要的企业层。相同的预测数据可以在BigQuery和Earth Engine中查询，或从Google Cloud Storage中批量下载，客户无需设置模型。","电网运营商正在运行一个在两端都变得更难预测的系统。在发电端，可再生能源现在占了大部分新增容量。标普全球市场情报的《2026年美国电网展望》：https://www.spglobal.com/market-intelligence/en/news-insights/research/2026/07/us-grid-outlook-2026-renewables-surge-data-center-demand 预计今年新增容量的主要来源为太阳能和储能，分别为51.2GW和25.7GW，占计划新增容量90GW以上。","太阳能和风能的发电量取决于天气而非需求，因此每增加一吉瓦容量就使短期预测更准确。","在消费端，新的负荷来源于人工智能。标普全球指出，遍布北美的数据中心是近期电力需求激增的主要驱动因素，这迫使公用事业公司上调其负荷预测。德勤2026年《电力与公用事业行业展望》：https://www.deloitte.com/gr/en/Industries/power-utilities-renewables/perspectives/2026-power-and-utilities-industry-outlook.html 预测，到2035年峰值需求将增长约26%，仅数据中心的需求可能达到176GW，是2024年水平的五倍。","预测错误的代价很直接。如果运营商低估了风电的到来量，就必须在短时间内购买替代电力，通常来自昂贵备用的燃气电厂。如果高估，风能和太阳能电厂最终需要付费来停机，因为电网无法吸收它们产生的电力。两种结果都很昂贵，而且都是预测失败。","向能源行业销售天气预报是一项成熟的业务。Vaisala、Solcast、DNV的WindGEMINI以及IBM的HyperWatch都在竞争。瑞士公司Jua也参与其中，它声称其EPT-2模型在准确性上优于微软的Aurora和DeepMind早期的GraphCast，并且每天更新24次，而其竞争对手通常每天仅更新四次。","谷歌的优势在于覆盖面。相同的预测以表格形式出现在BigQuery中，Earth Engine的一个层，Google Maps Platform的API，以及Google搜索的默认答案。没有专业供应商拥有这样的覆盖面，每小时刷新也弥补了那些供应商用于区分自身的更新频率差距。","现有公司剩下的唯一技术争论点是：Jua的公开立场认为，在创纪录的极端天气情况下，基于物理的模型如ECMWF的HRES仍然优于纯数据驱动的人工智能模型，因为物理模型编码了能量和物质如何在大气中运动的规律，而人工智能模型则从过去的数据中学习模式。","Jua销售的是受物理约束的产品，因此这种说法符合其自身利益。它还描述了电网运营商最为担忧的情况，即当暴风超出模型训练中见过的任何情况时。","WeatherNext 3 背后的架构声称，它是从真实观测数据中学习，而不是从模拟数据中学习。大多数 AI 气象模型，包括 WeatherNext 2，在训练时都使用数值天气预报模型的输出，这些模型是由超级计算机驱动的物理模拟，但存在六小时的数据延迟。这种延迟可能会在像降雨和地表温度这样变化快速的变量中引入偏差。WeatherNext 3 则直接获取地球同步卫星的实时影像，并直接从各个气象站的读数中进行训练。","这种转变确实存在，但比大部分报道所说的要小得多。谷歌自己的系统图显示，该模型会同时接收一小时的卫星拼接影像以及传统的历史分析。DeepMind 高级研究科学家 Ilan Price 告诉 Bloomberg：https://www.bloomberg.com/news/articles/2026-09-03/deepmind-s-new-ai-weather-model-goes-hourly-for-power-markets，优势在于不必等待下一次分析，而是使用最新可用的信息。","报道称，剩余的数据延迟减至三到四小时，而此前约为七小时。对数值天气预报的依赖已减少，但尚未完全消除。","准确性数据同样需要谨慎对待。谷歌报告称，在早期预测时，相比 NASA 的 IMERG 卫星产品改进最多可达 60%，相比 MRMS 雷达到 30%，相比雨量计读数达到 10%，这些使用了标准的概率预测评分方法。这三者分别对应不同的基准，百分比不能相加。广泛传播的 50% 降水预测提升的说法，特指一日或更远的预测。每个数据都带有“最高可达”的限定词，这意味着每个都是最佳情况，而非典型结果。","谷歌在发布时未提供任何独立第三方验证。它转而引用 Brightband 的实时评估，并引用其排行榜来声称 WeatherNext 3 是迄今为止最准确的全球气象模型。公用事业公司在考虑是否从付费专用服务转向该模型时，更关心的是其自身服务区域和资产上的表现，而不是全球排行榜的位置。","谷歌正在将预测工具销售给其自身行业所创造的电网问题。驱动电力负荷增长的数据中心建设由大型云服务商引领，包括谷歌在内，而谷歌已签署了多千兆瓦的可再生能源采购协议，以供应其自身的设施。","对风能和太阳能输出的准确预测对于将大量清洁能源与不断增长且变化的负荷匹配的公司来说是直接有用的。这是商业逻辑，也在一定程度上解释了为什么本次发布中提供了这些能源变量。","谷歌尚未公布企业访问 WeatherNext 3 的定价，也未说明 BigQuery 和 Earth Engine 数据是否会收取标准的云查询费用或单独许可费。考虑放弃付费专业服务的公用事业公司会希望在衡量任何精度主张之前获得该价格信息。","到2025年，其企业和投资银行部门中有超过65,000名员工在积极使用该平台，同时有超过90%的工程师在使用 AI 编码助手。","该银行还表示，基于 AI 的交易筛查使其能够审查的交易量是之前的两倍多，同时将人工操作检查减少了一半。","美国银行正在使用一款名为 EricaAssist 的生成式 AI 系统，该系统已被 18,000 多名客户服务员工使用。该工具可以总结客户来电原因，检索相关信息，并推荐可能的下一步操作，同时保持员工对互动的责任。","美国银行在2026年7月表示，EricaAssist 可以在不到三秒钟内提供情境指导，并已将平均通话时间缩短近一分钟。该银行计划在2026年底将该系统扩展到更多的服务场景和业务线。","（图片来自谷歌：https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/）","另见：MIT 人工智能在没有历史数据的情况下预测极端天气：https://www.artificialintelligence-news.com/news/mit-ai-forecasts-extreme-weather-without-historical-data/","想从行业领袖那里了解更多关于人工智能和大数据的信息吗？请查看人工智能与大数据博览会：https://www.ai-expo.net/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series，此活动将在阿姆斯特丹、加利福尼亚和伦敦举行。这一综合性活动是TechEx的一部分：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series，并与其他领先科技活动同时举办，点击这里：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series 获取更多信息。","AI 新闻由 TechForge Media 提供动力：https://techforge.pub/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series。 在此探索其他即将举行的企业技术活动和网络研讨会：https://techforge.pub/events/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series。","Dashveenjit Kaur：https://www.artificialintelligence-news.com/news/author/dashveenjit/","零售与物流人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/retail-logistics-ai/，服务行业人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/service-industry-ai/","人工智能：https://www.artificialintelligence-news.com/categories/artificial-intelligence/，治理、监管与政策：https://www.artificialintelligence-news.com/categories/inside-ai/new_governance-regulation-and-policy/，制造与工程人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/manufacturing-engineering-ai/，多模态人工智能：https://www.artificialintelligence-news.com/categories/how-it-works/multimodal-ai/，物理人工智能：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/，TechEx 活动：https://www.artificialintelligence-news.com/categories/techex-events/","人工智能商业策略：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/，人工智能市场趋势：https://www.artificialintelligence-news.com/categories/inside-ai/ai-market-trends/，人工智能：https://www.artificialintelligence-news.com/categories/artificial-intelligence/，特写：https://www.artificialintelligence-news.com/categories/features/，工作世界：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","零售与物流人工智能：https://www.artificialintelligence-news.com/categories/ai-in-action/retail-logistics-ai/","AI 实践：https://www.artificialintelligence-news.com/categories/ai-in-action/","赞助内容：https://www.artificialintelligence-news.com/categories/sponsored-content/","我们所有的优质内容和最新科技新闻将直接发送到您的收件箱","AI 新闻是 TechForge 的一部分：https://techforge.pub/"]},"en":{"title":"AI Weather Forecast Enters Energy Market, Google Targets Grid Operators with WeatherNext 3","summary":"Google's latest AI weather forecast model, WeatherNext 3, can predict wind speed at 100 meters high, cloud cover, and surface solar radiation, and updates every hour. The model is aimed at energy traders, grid operators, and wind and solar developers, who are currently paying other companies for similar data.","category":"Industry","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"AI Weather Forecast Enters Energy Market, Google Targets Grid Operators with WeatherNext 3 - Aioga AI News","description":"Google's latest AI weather forecast model, WeatherNext 3, can predict wind speed at 100 meters high, cloud cover, and surface solar radiation, and updates every hour. The model is...","url":"https://www.aioga.com/en/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:05:45.723Z"},"ja":{"title":"AI天気予報がエネルギー市場に進出、GoogleはWeatherNext 3で電力網運営者をターゲットに","summary":"Googleの最新AI天気予報モデルWeatherNext 3は、100メートル上空の風速、雲量、地表の日射量を予測でき、毎時更新されます。このモデルはエネルギー取引業者、電力網運営者、風力・太陽光発電の開発者を対象としており、これらの顧客は現在、同様のデータについて他社に料金を支払っています。","category":"業界動向","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"AI天気予報がエネルギー市場に進出、GoogleはWeatherNext 3で電力網運営者をターゲットに - Aioga AIニュース","description":"Googleの最新AI天気予報モデルWeatherNext 3は、100メートル上空の風速、雲量、地表の日射量を予測でき、毎時更新されます。このモデルはエネルギー取引業者、電力網運営者、風力・太陽光発電の開発者を対象としており、これらの顧客は現在、同様のデータについて他社に料金を支払っています。","url":"https://www.aioga.com/ja/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:05:48.276Z"},"ko":{"title":"AI 일기예보, 에너지 시장 진출…구글, WeatherNext 3로 전력망 운영사 겨냥","summary":"구글의 최신 AI 일기예보 모델 WeatherNext 3는 고도 100m에서의 풍속, 구름량, 지표 태양 복사를 예측할 수 있으며, 매시간 업데이트된다. 이 모델은 에너지 거래업체, 전력망 운영사, 풍력 및 태양광 개발사를 대상으로 하며, 이들 고객은 현재 유사한 데이터를 얻기 위해 다른 회사에 비용을 지불하고 있다.","category":"업계 동향","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"AI 일기예보, 에너지 시장 진출…구글, WeatherNext 3로 전력망 운영사 겨냥 - Aioga AI 뉴스","description":"구글의 최신 AI 일기예보 모델 WeatherNext 3는 고도 100m에서의 풍속, 구름량, 지표 태양 복사를 예측할 수 있으며, 매시간 업데이트된다. 이 모델은 에너지 거래업체, 전력망 운영사, 풍력 및 태양광 개발사를 대상으로 하며, 이들 고객은 현재 유사한 데이터를 얻기 위해 다른 회사에 비용을 지불하고 있다.","url":"https://www.aioga.com/ko/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:05:52.936Z"},"es":{"title":"La previsión meteorológica con IA entra en el mercado energético, Google apunta a los operadores de redes eléctricas con WeatherNext 3","summary":"El último modelo de previsión meteorológica con IA de Google, WeatherNext 3, puede predecir la velocidad del viento a 100 metros de altura, la nubosidad y la radiación solar en la superficie, y se actualiza cada hora. Este modelo está dirigido a comerciantes de energía, operadores de redes eléctricas y desarrolladores de energía eólica y solar, clientes que actualmente ya pagan a otras empresas por datos similares.","category":"Industria","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"La previsión meteorológica con IA entra en el mercado energético, Google apunta a los operadores de redes eléctricas con WeatherNext 3 - Aioga Noticias de IA","description":"El último modelo de previsión meteorológica con IA de Google, WeatherNext 3, puede predecir la velocidad del viento a 100 metros de altura, la nubosidad y la radiación solar en la...","url":"https://www.aioga.com/es/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:05:54.632Z"},"fr":{"title":"La prévision météorologique par IA s'aventure sur le marché de l'énergie, Google cible les opérateurs de réseaux avec WeatherNext 3","summary":"Le dernier modèle de prévision météorologique par IA de Google, WeatherNext 3, peut prédire la vitesse du vent à 100 mètres d'altitude, la couverture nuageuse et le rayonnement solaire au sol, et se met à jour toutes les heures. Ce modèle est destiné aux traders en énergie, aux opérateurs de réseaux et aux développeurs d'énergie éolienne et solaire, ces clients payant actuellement d'autres entreprises pour ce type de données.","category":"Industrie","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"La prévision météorologique par IA s'aventure sur le marché de l'énergie, Google cible les opérateurs de réseaux avec WeatherNext 3 - Aioga Actualités IA","description":"Le dernier modèle de prévision météorologique par IA de Google, WeatherNext 3, peut prédire la vitesse du vent à 100 mètres d'altitude, la couverture nuageuse et le rayonnement sol...","url":"https://www.aioga.com/fr/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:00.229Z"},"de":{"title":"KI-Wettervorhersage dringt in den Energiemarkt ein, Google zielt mit WeatherNext 3 auf Netzbetreiber ab","summary":"Googles neuestes KI-Wettervorhersagemodell WeatherNext 3 kann Windgeschwindigkeit in 100 Metern Höhe, Bewölkung und Sonneneinstrahlung am Boden vorhersagen und wird stündlich aktualisiert. Das Modell richtet sich an Energiehändler, Netzbetreiber sowie Wind- und Solarenergieentwickler, die derzeit bereits für ähnliche Daten an andere Unternehmen zahlen.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"KI-Wettervorhersage dringt in den Energiemarkt ein, Google zielt mit WeatherNext 3 auf Netzbetreiber ab - Aioga KI-News","description":"Googles neuestes KI-Wettervorhersagemodell WeatherNext 3 kann Windgeschwindigkeit in 100 Metern Höhe, Bewölkung und Sonneneinstrahlung am Boden vorhersagen und wird stündlich aktua...","url":"https://www.aioga.com/de/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:05:58.528Z"},"pt-BR":{"title":"A previsão do tempo por IA entra no mercado de energia, Google mira operadores de rede com WeatherNext 3","summary":"O mais recente modelo de previsão do tempo por IA do Google, WeatherNext 3, pode prever a velocidade do vento a 100 metros de altura, a quantidade de nuvens e a radiação solar na superfície, sendo atualizado a cada hora. Esse modelo é voltado para comerciantes de energia, operadores de rede e desenvolvedores de energia eólica e solar, clientes que atualmente já pagam outras empresas por dados similares.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"A previsão do tempo por IA entra no mercado de energia, Google mira operadores de rede com WeatherNext 3 - Aioga Notícias de IA","description":"O mais recente modelo de previsão do tempo por IA do Google, WeatherNext 3, pode prever a velocidade do vento a 100 metros de altura, a quantidade de nuvens e a radiação solar na s...","url":"https://www.aioga.com/pt-BR/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:04.402Z"},"ru":{"title":"Прогноз погоды на основе ИИ выходит на энергетический рынок, Google нацеливается на операторов электросетей с WeatherNext 3","summary":"Новая модель прогноза погоды на основе ИИ от Google WeatherNext 3 может прогнозировать скорость ветра на высоте 100 метров, облачность и солнечную радиацию на поверхности земли с ежечасным обновлением. Эта модель ориентирована на энергетических трейдеров, операторов электросетей, а также разработчиков ветровой и солнечной энергии, которые в настоящий момент уже платят другим компаниям за аналогичные данные.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"Прогноз погоды на основе ИИ выходит на энергетический рынок, Google нацеливается на операторов электросетей с WeatherNext 3 - Aioga Новости ИИ","description":"Новая модель прогноза погоды на основе ИИ от Google WeatherNext 3 может прогнозировать скорость ветра на высоте 100 метров, облачность и солнечную радиацию на поверхности земли с е...","url":"https://www.aioga.com/ru/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:04.768Z"},"ar":{"title":"تنبؤات الطقس بالذكاء الاصطناعي تدخل سوق الطاقة، جوجل تستهدف مشغلي شبكات الكهرباء بـ WeatherNext 3","summary":"نموذج جوجل الأحدث لتنبؤات الطقس بالذكاء الاصطناعي WeatherNext 3 قادر على التنبؤ بسرعة الرياح على ارتفاع 100 متر، وكمية السحب والإشعاع الشمسي على سطح الأرض، ويقوم بتحديث البيانات كل ساعة. يستهدف هذا النموذج تجار الطاقة ومشغلي شبكات الكهرباء ومطوري طاقة الرياح والطاقة الشمسية، حيث أن هؤلاء العملاء يدفعون حاليًا لشركات أخرى مقابل بيانات مماثلة.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"تنبؤات الطقس بالذكاء الاصطناعي تدخل سوق الطاقة، جوجل تستهدف مشغلي شبكات الكهرباء بـ WeatherNext 3 - Aioga أخبار الذكاء الاصطناعي","description":"نموذج جوجل الأحدث لتنبؤات الطقس بالذكاء الاصطناعي WeatherNext 3 قادر على التنبؤ بسرعة الرياح على ارتفاع 100 متر، وكمية السحب والإشعاع الشمسي على سطح الأرض، ويقوم بتحديث البيانات كل...","url":"https://www.aioga.com/ar/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:10.138Z"},"hi":{"title":"एआई मौसम पूर्वानुमान ऊर्जा बाजार में प्रवेश करता है, Google ने WeatherNext 3 के साथ ग्रिड ऑपरेटरों को लक्षित किया है","summary":"Google का नवीनतम AI मौसम पूर्वानुमान मॉडल, वेदरनेक्स्ट 3, हवा में 100 मीटर तक हवा की गति, बादलों के आवरण और सतह पर सौर विकिरण की भविष्यवाणी कर सकता है, जो हर घंटे अपडेट होता है। यह मॉडल ऊर्जा व्यापारियों, ग्रिड ऑपरेटरों और पवन और सौर डेवलपर्स को लक्षित करता है जो पहले से ही इसी तरह के डेटा के लिए अन्य कंपनियों को भुगतान कर रहे हैं।","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"एआई मौसम पूर्वानुमान ऊर्जा बाजार में प्रवेश करता है, Google ने WeatherNext 3 के साथ ग्रिड ऑपरेटरों को लक्षित किया है - Aioga AI समाचार","description":"Google का नवीनतम AI मौसम पूर्वानुमान मॉडल, वेदरनेक्स्ट 3, हवा में 100 मीटर तक हवा की गति, बादलों के आवरण और सतह पर सौर विकिरण की भविष्यवाणी कर सकता है, जो हर घंटे अपडेट होता है। यह...","url":"https://www.aioga.com/hi/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:13.605Z"},"it":{"title":"Previsioni meteorologiche AI entrano nel mercato dell'energia, Google mira agli operatori di rete con WeatherNext 3","summary":"Il nuovo modello di previsioni meteorologiche AI di Google, WeatherNext 3, può prevedere la velocità del vento a 100 metri di altezza, la copertura nuvolosa e la radiazione solare al suolo, aggiornando i dati ogni ora. Il modello è rivolto ai trader di energia, agli operatori di rete e agli sviluppatori di energia eolica e solare, clienti che attualmente pagano altre aziende per dati simili.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"Previsioni meteorologiche AI entrano nel mercato dell'energia, Google mira agli operatori di rete con WeatherNext 3 - Aioga Notizie IA","description":"Il nuovo modello di previsioni meteorologiche AI di Google, WeatherNext 3, può prevedere la velocità del vento a 100 metri di altezza, la copertura nuvolosa e la radiazione solare...","url":"https://www.aioga.com/it/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:19.554Z"},"nl":{"title":"AI-weerbericht betreedt de energiemarkt, Google richt met WeatherNext 3 op netbeheerders","summary":"Het nieuwste AI-weerberichtsmodel van Google, WeatherNext 3, kan windsnelheid op 100 meter hoogte, bewolking en zonnestraling op het aardoppervlak voorspellen en wordt elk uur bijgewerkt. Dit model is gericht op energietraders, netbeheerders en ontwikkelaars van wind- en zonne-energie, klanten die momenteel voor vergelijkbare gegevens betalen aan andere bedrijven.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"AI-weerbericht betreedt de energiemarkt, Google richt met WeatherNext 3 op netbeheerders - Aioga AI-nieuws","description":"Het nieuwste AI-weerberichtsmodel van Google, WeatherNext 3, kan windsnelheid op 100 meter hoogte, bewolking en zonnestraling op het aardoppervlak voorspellen en wordt elk uur bijg...","url":"https://www.aioga.com/nl/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:18.909Z"},"tr":{"title":"AI hava durumu tahmini enerji pazarına giriyor, Google WeatherNext 3 ile elektrik şebekesi operatörlerini hedefliyor","summary":"Google'ın en yeni AI hava durumu tahmin modeli WeatherNext 3, 100 metre yükseklikte rüzgar hızını, bulut yoğunluğunu ve yüzey güneş radyasyonunu tahmin edebiliyor ve her saat güncelleniyor. Bu model enerji tüccarları, elektrik şebekesi operatörleri ile rüzgar ve güneş enerjisi geliştiricilerine yönelik; bu müşteriler şu anda benzer veriler için diğer şirketlere ödeme yapıyor.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"AI hava durumu tahmini enerji pazarına giriyor, Google WeatherNext 3 ile elektrik şebekesi operatörlerini hedefliyor - Aioga AI Haberleri","description":"Google'ın en yeni AI hava durumu tahmin modeli WeatherNext 3, 100 metre yükseklikte rüzgar hızını, bulut yoğunluğunu ve yüzey güneş radyasyonunu tahmin edebiliyor ve her saat günce...","url":"https://www.aioga.com/tr/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:27.201Z"},"vi":{"title":"Dự báo thời tiết AI tiến vào thị trường năng lượng, Google nhắm tới các nhà vận hành lưới điện với WeatherNext 3","summary":"Mô hình dự báo thời tiết AI mới nhất của Google, WeatherNext 3, có thể dự đoán tốc độ gió ở độ cao 100 mét, lượng mây và bức xạ mặt trời trên bề mặt, đồng thời cập nhật mỗi giờ một lần. Mô hình này hướng tới các nhà giao dịch năng lượng, các nhà vận hành lưới điện và các nhà phát triển điện gió và năng lượng mặt trời, những khách hàng hiện đang trả tiền cho các dữ liệu tương tự từ các công ty khác.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"Dự báo thời tiết AI tiến vào thị trường năng lượng, Google nhắm tới các nhà vận hành lưới điện với WeatherNext 3 - Tin tức AI Aioga","description":"Mô hình dự báo thời tiết AI mới nhất của Google, WeatherNext 3, có thể dự đoán tốc độ gió ở độ cao 100 mét, lượng mây và bức xạ mặt trời trên bề mặt, đồng thời cập nhật mỗi giờ một...","url":"https://www.aioga.com/vi/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:25.159Z"},"id":{"title":"AI prakiraan cuaca masuk ke pasar energi, Google menargetkan operator jaringan listrik dengan WeatherNext 3","summary":"Model prakiraan cuaca AI terbaru Google, WeatherNext 3, dapat memprediksi kecepatan angin di ketinggian 100 meter, jumlah awan, dan radiasi matahari di permukaan tanah, serta diperbarui setiap jam. Model ini ditujukan untuk pedagang energi, operator jaringan listrik, serta pengembang tenaga angin dan surya, yang saat ini sudah membayar perusahaan lain untuk data serupa.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"AI prakiraan cuaca masuk ke pasar energi, Google menargetkan operator jaringan listrik dengan WeatherNext 3 - Berita AI Aioga","description":"Model prakiraan cuaca AI terbaru Google, WeatherNext 3, dapat memprediksi kecepatan angin di ketinggian 100 meter, jumlah awan, dan radiasi matahari di permukaan tanah, serta diper...","url":"https://www.aioga.com/id/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:31.234Z"},"th":{"title":"การพยากรณ์อากาศด้วยปัญญาประดิษฐ์เข้าสู่ตลาดพลังงาน โดย Google มุ่งเป้าไปที่ผู้ดําเนินการโครงข่ายไฟฟ้าผ่าน WeatherNext 3","summary":"โมเดลพยากรณ์อากาศ AI ล่าสุดของ Google ชื่อ WeatherNext 3 สามารถทํานายความเร็วลมได้สูงถึง 100 เมตรในอากาศ เมฆ และรังสีแสงอาทิตย์บนพื้นผิว โดยอัปเดตทุกชั่วโมงโมเดลนี้มุ่งเป้าไปที่ผู้ค้าพลังงาน ผู้ดําเนินการโครงข่ายไฟฟ้า และนักพัฒนาพลังงานลมและแสงอาทิตย์ที่กําลังจ่ายเงินให้บริษัทอื่นเพื่อข้อมูลที่คล้ายกันอยู่แล้ว","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"การพยากรณ์อากาศด้วยปัญญาประดิษฐ์เข้าสู่ตลาดพลังงาน โดย Google มุ่งเป้าไปที่ผู้ดําเนินการโครงข่ายไฟฟ้าผ่าน WeatherNext 3 - ข่าว AI Aioga","description":"โมเดลพยากรณ์อากาศ AI ล่าสุดของ Google ชื่อ WeatherNext 3 สามารถทํานายความเร็วลมได้สูงถึง 100 เมตรในอากาศ เมฆ และรังสีแสงอาทิตย์บนพื้นผิว โดยอัปเดตทุกชั่วโมงโมเดลนี้มุ่งเป้าไปที่ผู้...","url":"https://www.aioga.com/th/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:36.089Z"},"pl":{"title":"Prognoza pogody AI wkracza na rynek energetyczny, Google z WeatherNext 3 celuje w operatorów sieci energetycznych","summary":"Najnowszy model prognozy pogody AI Google, WeatherNext 3, może przewidywać prędkość wiatru na wysokości 100 metrów, zachmurzenie i promieniowanie słoneczne na powierzchni ziemi, aktualizując dane co godzinę. Model jest skierowany do handlowców energią, operatorów sieci energetycznych oraz deweloperów energii wiatrowej i słonecznej. Klienci ci obecnie płacą innym firmom za podobne dane.","category":"行业动态","source":"Artificial Intelligence News（网页）","aggregationSource":"Artificial Intelligence News（网页）","pageTitle":"Prognoza pogody AI wkracza na rynek energetyczny, Google z WeatherNext 3 celuje w operatorów sieci energetycznych - Aioga Wiadomości AI","description":"Najnowszy model prognozy pogody AI Google, WeatherNext 3, może przewidywać prędkość wiatru na wysokości 100 metrów, zachmurzenie i promieniowanie słoneczne na powierzchni ziemi, ak...","url":"https://www.aioga.com/pl/news/cmtsgukrp032wrodi6i34y1xy/","contentTranslated":true,"sourceHash":"985b67f0f7c6028b","translatedAt":"2026-09-08T10:06:41.305Z"}},"evidenceTier":"verified-news","reviewStatus":"automated-ingest","indexable":true,"editorialCover":""}}