Electrical Load Forecasting

Modeling and Model Construction


  • Ahmad Mohammad Al-Kandari


  • S.A. Soliman, Associate Dean and Chairman of Electrical Engineering Department, Misr University for Science and Technology (MUST), Egypt

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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Power Engineers, Electrical Engineers, Energy Engineers, Energy Economist, Environmental Engineers, Mechanical Engineers, and Industrial Engineers


Book information

  • Published: April 2010
  • ISBN: 978-0-12-381543-9

Table of Contents

     Chapter one: State of the Art

      Chapter two: Static State Estimation

        Chapter three: Short Term Load Forecasting Models

          Chapter four: Fuzzy Systems and Fuzzy linear Regression

          Chapter five: Dynamic State Estimation

            Chapter Six: Load Forecasting Computational Results: Static State Estimation

            Chapter seven: Load Forecasting Computational Results Fuzzy Linear Regression

              Chapter eight: Dynamic Electric Load Forecasting