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风力发电是近来愈来愈普及的一种发电方式,但随着风力发电占比逐步提高,其不稳定性和不可预测性便成了愈来愈大的考验。为了进一步提高风力发电的实用性,Google 提出了用机器学习的方式,来预测未来的发电状况,做为供电的参考。 Google 自去年起,将气象观测资料、气象预测、和实地的量测结果喂进 DeepMind 的机器学习平台上,提供 36 小时后的风力预测,并且应用在自家位于美国中部的 700MW 风力发电场。虽然说这并不能改变风吹的量,但却让 Google 能提前知会电力公司未来一天预计能提...
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