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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2011 Vol.1(2):138-147 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.21

Hybrid Model for Short-Term Forecasting in Electric Power System

Victor Kutbatsky, Denis Sidorov, Nikita Tomin and Vadim Spiryaev
Abstract—The novel hybrid model for forecasting of time series characterized by nonlinear, nonstationary behavior is presented. Experimental studies on synthetic and real data are carried out and discussed. The application of developed approach for forecasting of price situation in the electricity market and for forecasting of the parameters of the expected operation conditions of the electric power system has demonstrated the accuracy improvement using the most common metrics. The system is examined using the benchmark data records from Australian national electricity market.

Index Terms—Hilbert-Huang Transform; artificial neural networks; forecasting; electricity price; power systems.

V. Kurbatsky and N. Tomin are with the Power Systems Department of Energy Systems Institute of Russian Academy of Sciences, Irkutsk, 664033 RUSSIA (kurbatsky@isem.sei.irk.ru, tomin@isem.sei.irk.ru). D. Sidorov and V. Spiryaev are with the Applied Mathematics Department of Energy Systems Institute of Russian Academy of Sciences, Irkutsk, 664033 RUSSIA (dsidorov@isem.sei.irk.ru, elden@mail.ru). 1 The term “intelligent” is used in reference to the approaches, methods, systems and complexes using artificial intelligence technologies

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Cite: Victor Kutbatsky, Denis Sidorov, Nikita Tomin and Vadim Spiryaev, "Hybrid Model for Short-Term Forecasting in Electric Power System," International Journal of Machine Learning and Computing vol. 1, no. 2, pp. 138-147, 2011.

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