Electrical Load Forecasting: Modeling and Model Construction

by S.A. Soliman, Ahmad Mohammad Al-Kandari

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.

Product Details

ISBN-13:	9780128102213
Publisher:	Elsevier Science
Publication date:	08/19/2016
Pages:	440
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

1. State of the Art2. Static State Estimation3. Short Term Load Forecasting Models4. Fuzzy Systems and Fuzzy linear Regression5. Dynamic State Estimation6. Load Forecasting Computational Results: Static State Estimation7. Load Forecasting Computational Results Fuzzy Linear Regression8. Dynamic Electric Load Forecasting

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From the Publisher

Achieve a high level forecasting accuracy and save valuable time and money