Electrical Load Forecasting
1st Edition
Modeling and Model Construction
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.
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
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
Details
- No. of pages:
- 440
- Language:
- English
- Copyright:
- © Butterworth-Heinemann 2010
- Published:
- 13th April 2010
- Imprint:
- Butterworth-Heinemann
- eBook ISBN:
- 9780123815446
- Hardcover ISBN:
- 9780123815439
- Paperback ISBN:
- 9780128102213
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