Description
Book SynopsisThis book fills a void in the field of power systems, as an invaluable compendium for researchers, practitioners, as well as graduate students. It covers everything from load and price forecasting, to post-storm service restoration times. It also introduces advanced methods of time series forecasting, as well as neural networks.
Table of ContentsPreface and Acknowledgments vii
Contributors ix
1. Introduction 1
Mohamed E. El-Hawary
2. Univariate Methods for Short-Term Load Forecasting 17
James W. Taylor and Patrick E. McSharry
3. Application of theWeighted Nearest Neighbor Method to Power System Forecasting Problems 41
Antonio Gomez-Exposito, Alicia Troncoso, Jesus M. Riquelme-Santos, Catalina Gomez-Quiles, Jose L. Martýnez-Ramos, and Jose C. Riquelme
4. Electricity Prices as a Stochastic Process 89
Yunhe Hou, Chen-Ching Liu, and Harold Salazar
5. Short-Term Forecasting of Electricity Prices Using Mixed Models 153
Carolina Garcýa-Martos, Julio Rodrýguez, and Marýa Jesus Sanchez
6. Electricity Price Forecasting Using Neural Networks and Similar Days 215
Paras Mandal, Anurag K. Srivastava, Tomonobu Senjyu, and Michael Negnevitsky
7. Estimation of Post-Storm Restoration Times for Electric Power Distribution Systems 251
Rachel A. Davidson, Haibin Liu, and Tatiyana V. Apanasovich
8. A Nonparametric Approach for River Flow Forecasting Based on Autonomous Neural Network Models 285
Vitor Hugo Ferreira and Alexandre P. Alves da Silva
Index 297
