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Weron, Rafal

Modeling and Forecasting Electricity Loads and Prices

Weron, Rafal - Modeling and Forecasting Electricity Loads and Prices, ebook

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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.

Modeling and Forecasting Electricity Loads and Prices is packaged with a CD containing both the data and detailed examples of implementation of different techniques in Matlab, with additional examples in SAS. A reader can retrace all the intermediate steps of a practical implementation of a model and test his understanding of the method and correctness of the computer code using the same input data.

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.

Keywords: statistical, different, electricity, tools, indepth, review, decomposition, coverage, seasonal, models, time series, autoregressive, components, variables, exogenous, forecasts, market price, derivatives, risk, matlab, examples

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2007
Language
en
Edition
1
Imprint
Wiley
Series
The Wiley Finance Series
Page amount
192 pages
Category
Economy
Format
Ebook
eISBN (PDF)
9780470059999
Printed ISBN
9780470057537

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