An implementation of novel CMAC algorithm for very short term load forecasting

摘要: Load forecasting is an issue that needs to be addressed prevent overloading and catastrophic blackouts in power grids. This paper proposes a dual cerebellar model articulation controller (CMAC) neural network which able give accurate very short term prediction of the required load curve. first time CMAC algorithm has been employed for forecasting. The depicts proposed method advantage reduced training computational requirements as compared other techniques. data south west interconnected system was predictions whilst using back propagation network. performance evolution shown works efficiently accurately scenarios conventional