Over the past several years, power demand is immensely increasing in isolated mode or grid connected mode of applications continuously due to the growth in demand of various classes of consumers like domestic, industrial, agricultural, and etc. To meet this, various conventional power plants are operating by using fossil fuels as major resource. But in future, these resources may evaporate, and need to look for the availability of alternative energy sources, and hence renewable energy based hybrid power system is designed. Combining several different types of power sources will forms a system, which is known as "Hybrid Power System”. This book gives an overview of different architectures of HPS and also energy, load forecasting, and maintenance scheduling of the plant by using Artificial Neural Networks (ANN).
"Sinopsis" puede pertenecer a otra edición de este libro.
Over the past several years, power demand is immensely increasing in isolated mode or grid connected mode of applications continuously due to the growth in demand of various classes of consumers like domestic, industrial, agricultural, and etc. To meet this, various conventional power plants are operating by using fossil fuels as major resource. But in future, these resources may evaporate, and need to look for the availability of alternative energy sources, and hence renewable energy based hybrid power system is designed. Combining several different types of power sources will forms a system, which is known as "Hybrid Power System". This book gives an overview of different architectures of HPS and also energy, load forecasting, and maintenance scheduling of the plant by using Artificial Neural Networks (ANN).
Mr.Y Jaganmohan Reddy and Dr.Anilkumar Ramsesh are working with Automation and Controls division of Honeywell Technology Solutions (P) Ltd, India. Mr.Y V Pavan Kumar is working with Aerospace division of Honeywell Technology Solutions (Pvt) Ltd, India. Dr. K Padma Raju is working with Jawaharlal Nehru Technological University Kakinada, India.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Reddy Y. JaganmohanMr.Y Jaganmohan Reddy and Dr.Anilkumar Ramsesh are working with Automation and Controls division of Honeywell Technology Solutions (P) Ltd, India. Mr.Y V Pavan Kumar is working with Aerospace division of Honeywell . Nº de ref. del artículo: 5145165
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
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Condición: New. PRINT ON DEMAND pp. 220. Nº de ref. del artículo: 18128824082
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Microgrid Architectures and Maintenance | Architectures for Green Energy Generation | Y. Jaganmohan Reddy (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659277979 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106152801
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the past several years, power demand is immensely increasing in isolated mode or grid connected mode of applications continuously due to the growth in demand of various classes of consumers like domestic, industrial, agricultural, and etc. To meet this, various conventional power plants are operating by using fossil fuels as major resource. But in future, these resources may evaporate, and need to look for the availability of alternative energy sources, and hence renewable energy based hybrid power system is designed. Combining several different types of power sources will forms a system, which is known as 'Hybrid Power System . This book gives an overview of different architectures of HPS and also energy, load forecasting, and maintenance scheduling of the plant by using Artificial Neural Networks (ANN). Nº de ref. del artículo: 9783659277979
Cantidad disponible: 2 disponibles