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{ "item_title" : "Electrical Load Forecasting", "item_author" : [" S. a. Soliman "], "item_description" : "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. ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/12/810/221/0128102217_b.jpg", "price_data" : { "retail_price" : "160.00", "online_price" : "160.00", "our_price" : "160.00", "club_price" : "160.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Electrical Load Forecasting|S. a. Soliman

Electrical Load Forecasting : Modeling and Model Construction

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9780128102213
  • ISBN-10: 0128102217
  • Publisher: Butterworth-Heinemann
  • Publish Date: August 2016
  • Dimensions: 8.9 x 5.9 x 1 inches
  • Shipping Weight: 1.49 pounds
  • Page Count: 440

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