Electrical Load Forecasting

Modeling and Model Construction

Business & Finance, Economics, Planning & Forecasting, Industries & Professions, Industries
Cover of the book Electrical Load Forecasting by S.A. Soliman, Ahmad Mohammad Al-Kandari, Elsevier Science
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Author: S.A. Soliman, Ahmad Mohammad Al-Kandari ISBN: 9780123815446
Publisher: Elsevier Science Publication: May 26, 2010
Imprint: Butterworth-Heinemann Language: English
Author: S.A. Soliman, Ahmad Mohammad Al-Kandari
ISBN: 9780123815446
Publisher: Elsevier Science
Publication: May 26, 2010
Imprint: Butterworth-Heinemann
Language: English

Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is also supported by an online computer program that allows readers to construct, validate, and run short and long term models.

  • Step-by-step guide to model construction
  • Construct, verify, and run short and long term models
  • Accurately evaluate load shape and pricing
  • Creat regional specific electrical load models
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is also supported by an online computer program that allows readers to construct, validate, and run short and long term models.

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