Research On Power Demand Side Energy Consumption Information Feedback And Prediction Based On Wireless Communication Network

The Electricity consumption to feedback at the demand side still meets its challenges, simple contents, long cycles and other issues. The feedback dosen’t seize the smart grid electricity consumption demand side to save energy and improve energy efficiency, the key problem of electricity feedback data integrity and feedback content targeted on technology is not yet mature. In this paper, using the method of power demand side energy direct feedback, the information feedback system of electric power demand side based on the wireless communication network was designed. At last, the establishment of energy consumption prediction model is studied, which provides a basis for the research of energy consumption management strategy. The main research work in this paper as follows:(1)Firstly, this paper designed a kind of energy acquisition system based on ZigBee communication to realize electricity equipment energy consumption information collection and transmission. Completed the ZigBee acquisition node energy consumption and the design of the gateway.(2) Based on ZigBee wireless communication in electric power demand side’s popularity is not high, this article has designed the energy acquisition system based on WiFi communications, and energy consumption information publishing system is designed. The distribution system has realized the energy consumption data of visual display.(3) At the end of this paper, the power demand side energy consumption prediction model is studied.A genetic algorithm is proposed to improve the kernel extreme learning machine algorithm, and the power demand side energy consumption prediction model is established by using the kernel extreme learning machine algorithm.