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Day-ahead price forecasting in restructured power systems using artificial neural networks

  • Published:2008-08 Issue:8 Volume:78 Page:1332-1342
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Vahidinasab V.,Jadid S.,Kazemi A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference20 articles.

1. Market Operations in Electric Power Systems, Forecasting, Scheduling and Risk Management;Shahidehpour,2002

2. ARIMA models to predict next-day electricity prices;Contreras;IEEE Trans. Power Syst.,2003

3. Strategic bidding in competitive electricity markets: a literature survey;David,2000

4. PJM, Pennsylvania–New Jersey–Maryland market. Available online at the following website: http://www.pjm.com.

5. Forecasting next-day electricity prices by time series models;Nogales;IEEE Trans. Power Syst.,2002

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