Advances in electric power and energy systems : load and price forecasting Introduction Mohamed E El Hawary Univariate Methods for Short Term Load Forecasting James W Taylor Patrick E McSharry Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems Antonio Gómez Expósito Alicia Troncoso Jesús M Riquelme Santos Catalina Gómez Quiles José L Martínez Ramos José C Riquelme Electricity Prices as a Stochastic Process Yunhe Hou Chen Ching Liu Harold Salazar Short Term Forecasting of Electricity Prices Using Mixed Models Carolina García Martos Julio Rodríguez María Jesús Sánchez Electricity Price Forecasting Using Neural Networks and Similar Days Paras Mandal Anurag K Srivastava Tomonobu Senjyu Michael Negnevitsky Estimation of Post Storm Restoration Times for Electric Power Distribution Systems Rachel A Davidson Haibin Liu Tatiyana V Apanasovich A Nonparametric Approach for River Flow Forecasting Based on Autonomous Neural Network Models Vitor Hugo Ferreira Alexandre P Alves da Silva A comprehensive review of state of the art approaches to power systems forecasting from the most respected names in the field internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers researchers and post grads concerned with power systems planning and forecasting this book brings together contributions from many of the world’s foremost names in the field who address a range of critical issues from forecasting power system load to power system pricing to post storm service restoration times river flow forecasting and more. In a time of ever increasing energy demands mounting concerns over the environmental impacts of power generation and the emergence of new smart grid technologies electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short run forecasting of electricity prices has become necessary for power generation unit schedule since it is the basis of every maximization strategy. 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 networks. Provides in depth coverage of state of the art power system load forecasting and electricity price forecasting . Addresses river flow forecasting based on autonomous neural network models. Deals with price forecasting in a competitive market. Includes estimation of post storm restoration times for electric power distribution systems. Features contributions from world renowned experts sharing their insights and expertise in a series of self contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers regulators planners and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates graduate students and researchers involved in power system planning and operation