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- W2324488273 abstract "A data mining approach to the market-share load forecast of generating plant is introduced in this paper. The paper first focuses on how the data collected and formatted into samples for forecast use. The samples organized for forecast are mainly about system or market conditions and the bidding data of the plant. The representation of the data is the information table that filled with plenty of samples. Then the forecasting rules can be extracted from the reduced information table. The forecast system established with the rules cannot provide the result to be a certain magnitude but an interval. The paper tries to test both with the base and peak-load generating plants. Seen from the results, most actual market-share loads can be covered by the forecast range with an acceptable forecast application." @default.
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- W2324488273 date "2003-01-01" @default.
- W2324488273 modified "2023-09-24" @default.
- W2324488273 title "Market-share load forecast for generating plant: a data mining approach" @default.
- W2324488273 doi "https://doi.org/10.1049/cp:20030594" @default.
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