数据驱动的建筑智能楼宇群微网负荷预测关键技术探析

Research on the Key Technology of Data-driven Load Forecasting of Micro Network in Intelligent Building Group

随着我国经济的快速发展,人们的生活水平得到了大幅度升高,我国的能源管理模式也从粗放型向精准型转变,而电力作为现代社会最普遍的能源,其能效利用率的高低将直接影响社会经济建设。本文就建筑智能楼宇群的负荷预测关键技术展开分析,将负荷预测关键技术有效推广,进而能提升大用户在电力市场的议价空间及市场竞争力。

With the rapid development of China’s economy,the overall living standards of the people have greatly increased,and China’s energy management model has also changed from extensive to precise.Electricity,as the most common energy source in modern society,has an energy efficiency utilization rate.The level will directly affect the socialist economic construction.This article analyzes the key technologies of load forecasting for intelligent building groups in the building.It is hoped that the viewpoints described below can provide relevant personnel with reference values and can effectively promote the key technologies of load forecasting,which can improve the bargaining space of large users in the electricity market and Market Competitiveness.