An Intelligent and Efficient ANN Approach | Short Term Electric Load Forecasting. Dieser Artikel ist nicht verfügbar.An Intelligent and Efficient ANN Approach | Short Term Electric Load Forecasting

Load forecasting is very important for decision processes in the electricity sector. STELF provides an accurate estimate for the operating of the power system and also a basis for energy transactions and decision making in energy markets. It is also very important for daily maintenance of power plants because most of the decisions, like the unit commitment, load shedding and the economic load dispatch is necessarily based on forecasts of future demands. As seen in the literatures, conventional approaches, like the regression model and the time-series based models, are not very suitable because of the complexity and labour involved in modeling. So in this proposed work, to fulfill the requirement of accurate forecast, an ANN approach was used to forecast the next hour electrical load for Safdarjang, New Delhi region.

Er. Medha Joshi is working as an Assistant Professor in SLSET Group of Institutions, UTU, Dehradun. She received her B.Tech. degree in Electrical & Electronics Engineering from U.P.T.U. Lucknow, India in 2009 & M.Tech. degree in Electrical Energy System from G.B.P.U.A.T. Pantnagar, Uttarakhand, India in 2015.