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- W2112207757 abstract "Electricity market players operating in a liberalized environment require adequate decision support tools, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. This paper deals with short-term predication of day-ahead spinning reserve (SR) requirement that helps the ISO to make effective and timely decisions. Based on these forecasted information, market participants can use strategic bidding for day-ahead SR market. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast." @default.
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- W2112207757 date "2009-11-01" @default.
- W2112207757 modified "2023-09-22" @default.
- W2112207757 title "ANN Based Day-Ahead Spinning Reserve Forecast for Electricity Market Simulation" @default.
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- W2112207757 doi "https://doi.org/10.1109/isap.2009.5352930" @default.
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