Short-term load forecasting is an essential instrument in power system planning, operation and control. Many operating …

This paper proposes a hybrid STLF (short-term load forecasting) framework with a new input selection method. BNN …

Short-term load forecasting is an important part in the energy management of micro-grid. The forecasting errors … realize the short-term load forecasting for its smaller capacity and higher randomness. A hybrid load forecasting model with … parameter optimization is proposed for short-term load forecasting of micro-grids, being composed of Empirical Mode …

extremely large areas, such as nations and regions. This work aims at presenting a solution for short-term load forecasting …

Kernel-based methods, such as support vector regression (SVR), have demonstrated satisfactory performance in short-term … load forecasting (STLF) application. However, the good performance of kernel-based method depends on the selection of an …