An Intelligent and Efficient ANN Approach
Short Term Electric Load Forecasting
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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...
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.
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