Simulation Model of Electricity Demand Forecasting from End-user Based on LEAP

Abstract

Under the background of China's power system reform, the electric power enterprise is required to upgrade its service and optimize the allocation of resources based on the electricity demand. Market competition requires electric power enterprises to pay more attention tothe demandside, and predict the electricity demand, in order to provide timely feedback to system. The electricity consumption of household is mainly predicted by household appliances. The electricity consumption of industrial, agricultural and transportation industries are mainly predicted by the output and mileage of operation. This article uses LEAP (Low Emissions Analysis Platform) to set up a model to simulate the electricity demand in Beijing. This research can provide the significant support for improving the intelligent service of electric power enterprises, and provide a new perspective for electricity demand forecasting.