在东北部和加利福尼亚州发射的AI动力风暴停电预报,以提高电网的抗御力。 AI-powered storm outage forecasting launched in Northeast and California to boost grid resilience.

奥尔巴尼大学和康涅狄格大学的研究人员发起了一项北美预报倡议,得到了国家安全部队赠款的支持,目的是利用AI和实时天气和断电数据改进与风暴有关的断电预测。 Researchers at the University at Albany and the University of Connecticut have launched a North American forecasting initiative backed by an NSF grant to improve storm-related power outage predictions using AI and real-time weather and outage data. 该项目是WISER中心的一部分,最初将侧重于新英格兰、纽约和加利福尼亚州,如果资金继续提供,将在全国扩展。 The project, part of the WISER center, will initially focus on New England, New York, and California before expanding nationally if funding continues. 该模式通过帮助水电公司预测停电,旨在缩短恢复时间,改进资源部署,降低长期成本,在极端天气加剧的情况下提高电网的复原力。 By helping utilities anticipate outages, the model aims to reduce restoration times, improve resource deployment, and lower long-term costs, enhancing grid resilience amid increasing extreme weather.