Demand Response Operation Method on Energy Big Data Platform

Tai-Yeon Ku, Wan-ki Park, Hoon Choi
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引用次数: 4

Abstract

Energy management system should predict the future energy use and generation amount for the optimal operation of ESS based on the measured energy amount, renewable energy production amount and energy usage, and establish the operation plan. In this paper, we describe the technologies that can be saved through the analysis of big data of energy resources for renewable energy and present Demand Response Operation Method through big data analysis. Through this technology, it is possible to find new information by discovering patterns and correlations hidden in data, and to respond appropriately when issuing DR.
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能源大数据平台需求响应操作方法
能源管理系统应根据实测的能源总量、可再生能源产生量和能源使用情况,预测未来ESS优化运行的能源使用量和发电量,并制定运行计划。本文通过对可再生能源能源资源大数据的分析,阐述了可节省的技术,并通过大数据分析提出了需求响应运行方法。通过这种技术,可以通过发现隐藏在数据中的模式和相关性来发现新的信息,并在发布DR时做出适当的响应。
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