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
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Table of Contents
1. State of the Art 2. Static State Estimation 3. Short Term Load Forecasting Models 4. Fuzzy Systems and Fuzzy linear Regression 5. Dynamic State Estimation 6. Load Forecasting Computational Results: Static State Estimation 7. Load Forecasting Computational Results Fuzzy Linear Regression 8. Dynamic Electric Load Forecasting
