Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
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In den WarenkorbPaperback. Zustand: Brand New. 120 pages. 8.66x5.91x0.28 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
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Taschenbuch. Zustand: Neu. An Approach Towards Short Term Load Forecasting For Smart Grid | Sreenu Sreekumar (u. a.) | Taschenbuch | 120 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659940491 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An unconcealed struggle to optimise the operating cost of electricity can be easily witnessed when we refer contemporary researches based on load forecasting. Each of them has one primary aim in common, which is sustainable functioning of power system. Short term load forecasting (STLF) aims to predict system load over an interval of one day or one week. In power system the major operations like unit commitment, scheduling, load ow calculation and security assessments etc are mostly depends on STLF. An accurate electric load forecasting is an essential part in smart grid for smart generation scheduling. In this thesis six dierent models and their optimized models are presented, results shows that these models have great potential towards STLF. 120 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sreekumar SreenuSreenu Sreekumar received the B.Tech. degree inelectrical and electronics engineering from MahatmaGandhi University, Kerala, India, in 2012, and theM.Tech. degree in power system from MalaviyaNational Institute of Tec.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An unconcealed struggle to optimise the operating cost of electricity can be easily witnessed when we refer contemporary researches based on load forecasting. Each of them has one primary aim in common, which is sustainable functioning of power system. Short term load forecasting (STLF) aims to predict system load over an interval of one day or one week. In power system the major operations like unit commitment, scheduling, load ow calculation and security assessments etc are mostly depends on STLF. An accurate electric load forecasting is an essential part in smart grid for smart generation scheduling. In this thesis six dierent models and their optimized models are presented, results shows that these models have great potential towards STLF.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An unconcealed struggle to optimise the operating cost of electricity can be easily witnessed when we refer contemporary researches based on load forecasting. Each of them has one primary aim in common, which is sustainable functioning of power system. Short term load forecasting (STLF) aims to predict system load over an interval of one day or one week. In power system the major operations like unit commitment, scheduling, load ow calculation and security assessments etc are mostly depends on STLF. An accurate electric load forecasting is an essential part in smart grid for smart generation scheduling. In this thesis six dierent models and their optimized models are presented, results shows that these models have great potential towards STLF.