In this paper, the authors present a fuzzy set-based model that represents the relation of electricity demand and price in a recently deregulated ...
Deregulated electricity market data representation by fuzzy regression ...
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Abstract—In this paper, the authors present a fuzzy set-based model that represents the relation of electricity demand and price in a recently deregulated ...
Apr 25, 2024 · Deregulated electricity market data representation by fuzzy regression models. IEEE Trans. Syst. Man Cybern. Part C 31(3): 320-326 (2001) ...
T. Nakashima's 10 research works with 122 citations, including: Multiobjective tradeoff analysis of deregulated electricity transactions.
This paper presents a method using fuzzy reasoning and recurrent neural networks (RNNs) for forecasting LMPs.
[4] developed a fuzzy linear regression model by using linear programming techniques in 1982, the fuzzy regression analysis has been widely studied and ...
This paper proposes a hierarchical electricity trading scheme that models residential, commercial and industrial prosumers, energy storage, renewable energy ...
Missing: regression | Show results with:regression
This paper reviews established approaches and mainly focusing on soft computing models. In deregulated power markets, fluctuation is a common behavior of price ...
Niimura, T., Nakashima, T.: Deregulated electricity market data representation by fuzzy regression models. IEEE Transactions on Systems, Man, and ...