An Electric Power Trading System: Network-based Framework and Simulator with Learning Capabilities
نویسندگان
چکیده
Software has been developed for studying and understanding a price change of the US wholesale power market (Sueyoshi and Tadiparthi, 2005). The software can be used as an effective decision making tool by traders for simulating and modeling of the power market. It can be also considered as a worthy effort towards creating a framework for assessing new trading strategies in a competitive electricity trading environment. This paper covers the broad areas of simulation, trading strategies and machine learning as well as the procedure to use the software. An effort has been made to find the best strategic technique for traders in supply and demand sides. KeywordsElectricity markets, Agent-based models, Simulation software, Machine learning ∗ Corresponding author’s email: [email protected]
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تاریخ انتشار 2006