Electric load forecasting using an artificial neural networks : Methods and solutions

Language: English

Published by LAP LAMBERT Academic Publishing, 2014

3659459380 / 9783659459382

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

Seller Inventory # 9783659459382

Title
Electric load forecasting using an artificial neural networks : Methods and solutions
Author
Natalia Gotman
Publisher
LAP LAMBERT Academic Publishing
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659459380
ISBN 13
9783659459382
Item weight
167 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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