Verwandte Artikel zu WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL...
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
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.
Biografía del autor
Dr Mohan Kolhe is with School of Engineering, Physics and Mathematics of the University of Dundee, UK. E-mail: M.L.Kolhe@dundee.ac.uk Tzu Chao Lin is with the Taiwan Power Company, Taiwan. E-mail: u772020@taipower.com.tw Dr Jussi Maunuksela is with the University of Jyvaskyla, Finland. E-mail: jussi.o.maunuksela@jyu.fi
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 45,84
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL...
Foto des Verkäufers
WIND ENERGY FORECASTING
Verlag:
VDM Verlag Dr. Müller, 2009
ISBN 10: 3639112970
ISBN 13: 9783639112979
Neu
Kartoniert / Broschiert
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As wind is an intermittent generation resource andweather changes can cause large and rapid changes inoutput, system operators will need accurate androbust wind energy forecasting systems in the future.Rapid changes of wind generatio. Bestandsnummer des Verkäufers 4958592
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
WIND ENERGY FORECASTING BY USING ARTIFICIAL NEURAL NETWORK GENETIC ALGORITHM
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9783639112979
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
WIND ENERGY FORECASTING : BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As wind is an intermittent generation resource andweather changes can cause large and rapid changes inoutput, system operators will need accurate androbust wind energy forecasting systems in the future.Rapid changes of wind generation relative to loadrequire rapid dispatching of generation andtransmission resources to balance generation versusload, regulate voltage and frequency, and maintainsystem performance within the limits established byNational Grid. Wind energy forecasts can help theenergy network operator to anticipate rapid changesof wind energy generation versus load and to make thedecisions. The study has been done for ANN and alsowith the combination of ANN and GA for short termwind power forecasting of wind power plants. Theperformance of these developed forecasting modelshave been tested and analyzed with wind power dataavailable from the operational records of wind powerplants. The results show that the combination of ANNand GA model does wind power output forecasting verywell except during the gust. This forecasting modelcan also be implemented in different time-scales,which will help wind energy trading in the openelectricity markets. Bestandsnummer des Verkäufers 9783639112979
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9783639112979_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
WIND ENERGY FORECASTING BY USING ARTIFICIAL NEURAL NETWORK GENETIC ALGORITHM
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9783639112979
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Verlag:
VDM Verlag Dr. M�ller 2008-12-30, 2008
ISBN 10: 3639112970
ISBN 13: 9783639112979
Neu
Paperback
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9783639112979
Anzahl: 10 verfügbar
Beispielbild für diese ISBN
WIND ENERGY FORECASTING: BY USING ARTIFICIAL NEURAL NETWORK - GENETIC ALGORITHM
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9783639112979
Anzahl: Mehr als 20 verfügbar