Synopsis
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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About the Author
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.
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An Intelligent and Efficient ANN Approach
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch. Seller Inventory # 9783659944864
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Joshi MedhaEr. 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. deg. Seller Inventory # 158430886
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An Intelligent and Efficient ANN Approach: Short Term Electric Load Forecasting
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An Intelligent and Efficient ANN Approach
Published by
LAP LAMBERT Academic Publishing Dez 2016, 2016
ISBN 10: 3659944866
ISBN 13: 9783659944864
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Seller Inventory # 9783659944864
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An Intelligent and Efficient ANN Approach : Short Term Electric Load Forecasting
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659944864
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An Intelligent and Efficient ANN Approach | Short Term Electric Load Forecasting
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Taschenbuch. Condition: Neu. An Intelligent and Efficient ANN Approach | Short Term Electric Load Forecasting | Medha Joshi (u. a.) | Taschenbuch | 148 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659944864 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 108251933
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