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INTELLIGENT ENERGY MANAGEMENT SYSTEM FOR DISTRIBUTED ENERGY RESOURCES AND ENERGY STORAGE SYSTEMS USING MACHINE LEARNING

机译:机器学习的分布式能源和储能系统智能能源管理系统

摘要

There is provided a method for managing electricity demand, the method comprising: obtaining past demand data of a site, the past demand data comprising past electricity usage data representing electricity usage at the site over a past time period extending from a past point in time to a current point in time; determining, based on the past demand data, projected electricity usage data of the site by inputting the past demand data to a trained machine learning model comprised in a set of one or more trained machine learning models, the projected electricity usage data representing projected electricity usage at the site over a future time period, and wherein the future time period does not comprise a period of time at least twenty-three hours from the current point in time; determining one or more peak demand periods when, during the future time period, the projected electricity usage at the site exceeds a demand threshold; and securing non-grid electricity for use by the site during the one or more peak demand periods.
机译:提供了一种用于管理电力需求的方法,该方法包括:获得站点的过去需求数据,该过去需求数据包括代表过去站点从过去时间点延伸到过去时间段内的电能使用的过去电能使用数据。当前时间点;通过将过去的需求数据输入到包含在一个或多个受过训练的机器学习模型的集合中的受过训练的机器学习模型中,基于过去的需求数据来确定站点的预计用电量数据,该预测用电量数据代表预测用电量在该站点上的未来时间段内,并且该未来时间段不包括距当前时间点至少二十三小时的时间段;在未来一段时间内,当站点的预计用电量超过需求阈值时,确定一个或多个高峰需求时段;并确保在一个或多个高峰需求期间供站点使用的非电网电力。

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