Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions

This paper proposes an electric load forecasting method using scatter search based weighted average weather conditions. We have developed electric power load forecasting methods using weather information at Nagoya city. For high accuracy of forecasting, input-output correlations of forecasting system must be improved using weather information of other areas. In this paper, weighted average weather information at many cities is utilized for realizing high accuracy of load forecasting. The weight rates are optimized for the highest correlation between weighted average weather information and electric power demands by scatter search. The simulation results reveal the effectiveness of the proposed method.