Artículos relacionados a Electric load forecasting using an artificial neural...
Sinopsis
Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day – operating forecasting; one-day-week-month-ahead load forecasting – short-term load forecasting; one-month-quarter-year-ahead load forecasting – long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day - operating forecasting; one-day-week-month-ahead load forecasting - short-term load forecasting; one-month-quarter-year-ahead load forecasting - long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems.
Biografía del autor
Galina P. Shumilova, Ph.D. (Technical Sciences), St.PSTU, a senior researcher at the ISE&EPN Komi SC UB RAS, Syktyvkar, the Russian Federation (RF).Natalia E. Gotman, SSU, a research fellow of the ISE&EPN Komi SC UB RAS, Syktyvkar, the RF.Tatiana B. Starceva, Komi SPI, a research fellow of the ISE&EPN Komi SC UB RAS, Syktyvkar, the RF.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 32,90
EUR 11,00 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Electric load forecasting using an artificial neural...
Imagen del vendedor
Electric load forecasting using an artificial neural networks
Publicado por
LAP LAMBERT Academic Publishing Mrz 2014, 2014
ISBN 10: 3659459380
ISBN 13: 9783659459382
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day operating forecasting; one-day-week-month-ahead load forecasting short-term load forecasting; one-month-quarter-year-ahead load forecasting long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems. 100 pp. Englisch. Nº de ref. del artículo: 9783659459382
Cantidad disponible: 2 disponibles
Imagen del vendedor
Electric load forecasting using an artificial neural networks : Methods and solutions
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659459380
ISBN 13: 9783659459382
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day operating forecasting; one-day-week-month-ahead load forecasting short-term load forecasting; one-month-quarter-year-ahead load forecasting long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems. Nº de ref. del artículo: 9783659459382
Cantidad disponible: 1 disponibles
Imagen del vendedor
Electric load forecasting using an artificial neural networks
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659459380
ISBN 13: 9783659459382
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gotman NataliaGalina P. Shumilova, Ph.D. (Technical Sciences), St.PSTU, a senior researcher at the ISE&EPN Komi SC UB RAS, Syktyvkar, the Russian Federation (RF).Natalia E. Gotman, SSU, a research fellow of the ISE&EPN Komi SC UB RAS. Nº de ref. del artículo: 5157387
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Electric load forecasting using an artificial neural networks
Publicado por
LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10: 3659459380
ISBN 13: 9783659459382
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day ¿ operating forecasting; one-day-week-month-ahead load forecasting ¿ short-term load forecasting; one-month-quarter-year-ahead load forecasting ¿ long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. Nº de ref. del artículo: 9783659459382
Cantidad disponible: 2 disponibles