Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach


Author: Forecasting Electricity Loads, A Statistical Approach

Date: 01.01.2011

ISBN: 047005753X

Category: Uncategorized


Posted on 2012-05-12, by LionFar.

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Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach

by Rafal Weron

WILEY | ENGLISH | 2006 | ISBN: 047005753X | 192 PAGES | PDF |10.99 MB

“This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk.The book will be of particular interest to the quants employed by the utilities, independent power generators and marketers, energy trading desks of the hedge funds and financial institutions, and the executives attending courses designed to help them to brush up on their technical skills. The text will be also of use to graduate students in electrical engineering, econometrics and finance wanting to get a grip on advanced statistical tools applied in this hot area. In fact, there are sixteen Case Studies in the book making it a self-contained tutorial to electricity load and price modeling and forecasting. ”

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