基于数据挖掘的电力需求侧管理综述

电力需求侧管理突破了传统的电力管理模式,改变了依靠单纯地扩大供应能力以满足日益增长的电力需要的方式,在更高层次上处理供应侧和需求侧的关系，特别强调用户参与负荷管理的积极性，做到和用户共同实施用电管理。针对这一特点，通过分析时下最热门的数据挖掘技术的现状，并结合数据挖掘技术分别从电力需求侧管理的需求侧响应，有序用电和能效管理三个方面对基于数据挖掘的电力需求侧管理进行了综述。结论得出，基于数据挖掘的电力需求侧管理是未来电力需求侧管理的主要发展方向，研究如何将数据挖掘技术应用到用户需求侧管理中，不仅可以推动电力需求侧管理的进一步发展，还可以加快电力行业的快速转型，为能源互联网的快速建设提供技术支持。

Review of Demand Side Management Based on Data Mining

electric power demand side management break the traditional management mode, change simply rely on expanding the supply capacity to meet the needs of power growing, dealing with the relationship between the supply side and the demand side on a higher level, emphasizes the enthusiasm of users to participate in load management, and implements power consumption management together with users. According to this characteristic, this paper analyzes the current situation of the most popular data mining technology, and has a review of power demand side management based on date mining from the power demand side management response, orderly use of electricity and energy efficiency management respectively. It is concluded that the power demand side management based on data mining is the main development direction of future power demand side management. Research on how to apply data mining technology to the user demand side management, not only promote the further development of power demand side management, but also accelerate the rapid transformation of the electric power industry, and provide technical support for the rapid construction of energy Internet.