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Artificial Intelligence in Electricity Market Operations and Management

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

Abstract

This chapter introduces advanced techniques such as artificial neural networks, wavelet decomposition, support vector machines, and data-mining techniques in electricity market demand and price forecasts. It argues that various techniques can offer different advantages in providing satisfactory demand and price signal forecast results for a deregulated electricity market, depending on the specific needs in forecasting. Furthermore, the authors hope that an understanding of these techniques and their application will help the reader to form a comprehensive view of electricity market data analysis needs, not only for the traditional time-series based forecast, but also the new correlation-based, price spike analysis. © 2008 by IGI Global. All rights reserved.
Original languageEnglish
Title of host publicationIntelligent Information Technologies: Concepts, Methodologies, Tools, and Applications: Volume I-IV
PublisherIGI Global Publishing
Pages1821-1840
Volume1-4
ISBN (Print)9781599049427, 1599049414, 9781599049410
DOIs
Publication statusPublished - 1 Jan 2007
Externally publishedYes

Bibliographical note

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