Advances in Electric Power and Energy Systems: Load and Price Forecasting (IEEE Press Series on Power Engineering)

Advances in Electric Power and Energy Systems: Load and Price Forecasting (IEEE Press Series on Power Engineering)
Description
Mohamed E. El-Hawary, PhD is Professor of Electrical and Computer Engineering at Dalhousie University. He is also the editor for the IEEE Press Power Engineering Series. His contributions to electrical engineering research, education, and industry cover more than forty years. He has published mu
Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. From the Back CoverA comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationallyAdvances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of
It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.. A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationallyAdvances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. This book fills a gap in the literature on this increasingly important topic.Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: Introduces advanced methods of time series forecasting, as well as neural networksProvides in-depth coverage of state-of-the-art power sy