Wind Energy Forecasting - By Using Artificial Neural Network - Genetic Algorithm (Paperback)
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Wind Energy Forecasting - By Using Artificial Neural Network - Genetic Algorithm
DE PB NW
ISBN: 9783639112979 bzw. 3639112970, in Deutsch, VDM Verlag, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 64 pages. Dimensions: 8.4in. x 5.8in. x 0.4in.As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting systems in the future. Rapid changes of wind generation relative to load require rapid dispatching of generation and transmission resources to balance generation versus load, regulate voltage and frequency, and maintain system performance within the limits established by National Grid. Wind energy forecasts can help the energy network operator to anticipate rapid changes of wind energy generation versus load and to make the decisions. The study has been done for ANN and also with the combination of ANN and GA for short term wind power forecasting of wind power plants. The performance of these developed forecasting models have been tested and analyzed with wind power data available from the operational records of wind power plants. The results show that the combination of ANN and GA model does wind power output forecasting very well except during the gust. This forecasting model can also be implemented in different time-scales, which will help wind energy trading in the open electricity markets. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 64 pages. Dimensions: 8.4in. x 5.8in. x 0.4in.As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting systems in the future. Rapid changes of wind generation relative to load require rapid dispatching of generation and transmission resources to balance generation versus load, regulate voltage and frequency, and maintain system performance within the limits established by National Grid. Wind energy forecasts can help the energy network operator to anticipate rapid changes of wind energy generation versus load and to make the decisions. The study has been done for ANN and also with the combination of ANN and GA for short term wind power forecasting of wind power plants. The performance of these developed forecasting models have been tested and analyzed with wind power data available from the operational records of wind power plants. The results show that the combination of ANN and GA model does wind power output forecasting very well except during the gust. This forecasting model can also be implemented in different time-scales, which will help wind energy trading in the open electricity markets. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
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WIND ENERGY FORECASTING (2009)
DE PB NW RP
ISBN: 9783639112979 bzw. 3639112970, in Deutsch, VDM Verlag Jan 2009, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting systems in the future. Rapid changes of wind generation relative to load require rapid dispatching of generation and transmission resources to balance generation versus load, regulate voltage and frequency, and maintain system performance within the limits established by National Grid. Wind energy forecasts can help the energy network operator to anticipate rapid changes of wind energy generation versus load and to make the decisions. The study has been done for ANN and also with the combination of ANN and GA for short term wind power forecasting of wind power plants. The performance of these developed forecasting models have been tested and analyzed with wind power data available from the operational records of wind power plants. The results show that the combination of ANN and GA model does wind power output forecasting very well except during the gust. This forecasting model can also be implemented in different time-scales, which will help wind energy trading in the open electricity markets. 64 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting systems in the future. Rapid changes of wind generation relative to load require rapid dispatching of generation and transmission resources to balance generation versus load, regulate voltage and frequency, and maintain system performance within the limits established by National Grid. Wind energy forecasts can help the energy network operator to anticipate rapid changes of wind energy generation versus load and to make the decisions. The study has been done for ANN and also with the combination of ANN and GA for short term wind power forecasting of wind power plants. The performance of these developed forecasting models have been tested and analyzed with wind power data available from the operational records of wind power plants. The results show that the combination of ANN and GA model does wind power output forecasting very well except during the gust. This forecasting model can also be implemented in different time-scales, which will help wind energy trading in the open electricity markets. 64 pp. Englisch.
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WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM (2008)
EN PB US
ISBN: 9783639112979 bzw. 3639112970, in Englisch, 64 Seiten, VDM Verlag Dr. Müller, Taschenbuch, gebraucht.
Neu ab: $43.80 (12 Angebote)
Gebraucht ab: $43.74 (4 Angebote)
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Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, hay-on-wye_booksellers-uk.
As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting systems in the future. Rapid changes of wind generation relative to load require rapid dispatching of generation and transmission resources to balance generation versus load, regulate voltage and frequency, and maintain system performance within the limits established by National Grid. Wind energy forecasts can help the energy network operator to anticipate rapid changes of wind energy generation versus load and to make the decisions. The study has been done for ANN and also with the combination of ANN and GA for short term wind power forecasting of wind power plants. The performance of these developed forecasting models have been tested and analyzed with wind power data available from the operational records of wind power plants. The results show that the combination of ANN and GA model does wind power output forecasting very well except during the gust. This forecasting model can also be implemented in different time-scales, which will help wind energy trading in the open electricity markets. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2008-12-30, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 11637621.
Von Händler/Antiquariat, hay-on-wye_booksellers-uk.
As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting systems in the future. Rapid changes of wind generation relative to load require rapid dispatching of generation and transmission resources to balance generation versus load, regulate voltage and frequency, and maintain system performance within the limits established by National Grid. Wind energy forecasts can help the energy network operator to anticipate rapid changes of wind energy generation versus load and to make the decisions. The study has been done for ANN and also with the combination of ANN and GA for short term wind power forecasting of wind power plants. The performance of these developed forecasting models have been tested and analyzed with wind power data available from the operational records of wind power plants. The results show that the combination of ANN and GA model does wind power output forecasting very well except during the gust. This forecasting model can also be implemented in different time-scales, which will help wind energy trading in the open electricity markets. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2008-12-30, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 11637621.
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Symbolbild
WIND ENERGY FORECASTING (2009)
DE PB NW RP
ISBN: 9783639112979 bzw. 3639112970, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany.
This item is printed on demand for shipment within 3 working days.
This item is printed on demand for shipment within 3 working days.
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Wind Energy Forecasting-By Using Artificial Neural Network-Geneti. 9783639112979
DE NW
ISBN: 9783639112979 bzw. 3639112970, in Deutsch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferart: Free, Lieferung: Weltweit, Artikelstandort: AL60EH Welwyn,United Kingdom, Versandkostenfrei.
Von Händler/Antiquariat, generalities - scarce and interesting books.
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Von Händler/Antiquariat, generalities - scarce and interesting books.
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