Electricity Forecasting

This comprehensive book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.

This book combines the fundamentals of industrial organization theories based on microeconomic foundations, applied econometrics and environmental and natural resource economics in undertaking a comprehensive review of reforms of the power sector and its impact on industrial and socio-economic performance. The book provides the reader with the intellectual groundwork necessary for understanding the workings and interactions of today’s reforming power markets such as in the ASEAN and East Asia that are striving to achieve the energy policy trilemma of affordability, energy sustainability and energy security.

by Mohamed E. El-Hawary (Author)

The overarching aim of this book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.