Neural-Wavelet Based Hybrid Model for Short-Term Load Forecasting

Exactly power load forecasting especially the short term load forecasting is of important significance in the case of energy shortage today. Conventional ANN-based load forecasting methods deal with 24-hour-ahead load forecasting. In this research, the application of neural networks to study the design of Short Term load Forecasting (STLF) Systems for 33 kv Substation of Dayalbagh Educational Institute, Agra was explored. The paper has introduced the neural networks and how we can use it to forecast electric power load.  This paper proposes a model developed through neural-Wavelet for prediction of short-term load forecasting. Keywords: Wavelet transforms, ANN, Load forecast, Short-term load forecas