Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Librería: Revaluation Books, Exeter, Reino Unido
EUR 80,20
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 120 pages. 8.66x5.91x0.28 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Librería: preigu, Osnabrück, Alemania
EUR 44,00
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Librería: moluna, Greven, Alemania
EUR 41,71
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659940496 ISBN 13: 9783659940491
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.