Chaotic Time Series Method Combined With Particle Swarm Optimization And Trend Adjustment For Electricity Demand Forecasting

Abstract

Electricity demand forecasting plays an important role in electric power systems planning. In this paper, nonlinear time series modeling technique is applied to analyze electricity demand. Firstly, the phase space, which describes the evolution of the be