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.

Key Features

  • 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
  • Readership

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

    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


      No. of pages:
      © 2010
      eBook ISBN:
      Print ISBN:
      Print ISBN:

      About the author

      S.A. Soliman

      Affiliations and Expertise

      Associate Dean and Chairman of Electrical Engineering Department, Misr University for Science and Technology (MUST), Egypt