Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique-Reference-Cited by-同舟云学术

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Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique

Published:2009-12 Issue:12 Volume:50 Page:2976-2982
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Amjady Nima,Keynia Farshid

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Market operations in electric power systems;Shahidehpour,2002

2. Day-ahead price forecasting of electricity markets by a new fuzzy neural network;Amjady;IEEE Trans Power Syst,2006

3. A GARCH forecasting model to predict day-ahead electricity prices;Garcia;IEEE Trans Power Syst,2005

4. Energy price forecasting – problems and proposals for such predictions;Amjady;IEEE Power Energy Mag,2006

5. Generation scheduling in a deregulated system. The Norwegian case;Fosso;IEEE Trans Power Syst,1999

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