A New Hybrid Method for Short-term Price Forecasting in Iran Electricity Market

摘要：

In this paper, a new hybrid method for prediction of the weighted average price (WAP) of Iran electricity market is introduced. The proposed model has a linear structure which its components are selected based on correlation analysis of WAP time series with its past values and the total required load as the most effective variable in this market as well as the critiques of Iran electricity market. The model coefficients are tuned by Genetic algorithm (GA) as an optimization algorithm based on available data from electricity market of Iran. The simulation results based on experimental data from Iran electricity market are representative of good performance of developed model in forecasting the market behavior.

作者: Mohammad Reza Vedady Karim Afshar Nooshin Bigdeli

作者单位: Moghadam Electrical Engineering Imam Khomeini International University Qazvin, Iran Electrical Engineering Imam Khomeini International University Qazvin, Iran

会议类型: 国际会议

会议名称: International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)

会议地点: 武汉

会议语种:英文

页码: 1-4

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）