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• W2096095657 abstract "In a competitive electricity market, available transfer capability (ATC) information is required by market participants as well as the system operator (SO) for secure operation of the power system. The on-line updating of ATC information requires a fast and accurate method for its determination. This paper proposes a multi-layer perceptron (MLP) based neural network model for ATC estimation in a competitive electricity market having bilateral as well as multilateral transactions. Relevant input features have been obtained by using a random forest (RF) technique. Levenberg-Marquardt algorithm has been used for training of neural network. The effectiveness of the proposed method has been tested on 39-bus New England System and a practical 246-bus Indian system." @default.
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• W2096095657 date "2007-06-01" @default.
• W2096095657 modified "2023-09-22" @default.
• W2096095657 title "A Neural Network Based Method For Fast ATC Estimation in Electricity Markets" @default.
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• W2096095657 doi "https://doi.org/10.1109/pes.2007.385782" @default.
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