Mid-term electricity market clearing price forecasting: A multiple SVM approach
A mid-term electricity MCP forecasting model using multiple support vector machine (SVM) is proposed. Mid-term electricity MCP forecasting is different from short-term forecasting. The proposed work assumes that all forecasting input data are given. The forecast output contains 720 continuous hourly electricity MCPs. MAE and MAPE are selected for regression computation performance evaluation.
electricity market clearing price support vector machine (svm) classification deregulated electric market electricity price forecasting peak price