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[HTML][HTML] A novel two-stage optimization method for the reliability based security constraints unit commitment in presence of wind units
S Malekshah, Y Malekshah, A Malekshah - Cleaner Engineering and …, 2021 - Elsevier
In the restructured power system environment, independent system operator solves the
Reliability-security constraint unit commitment (R–SCUC) problem that included reliability …
Reliability-security constraint unit commitment (R–SCUC) problem that included reliability …
A New Forecasting Method for Wind Power Generation Output with Wavelet ELM-Type Radial Basis Function Network
K Watanabe, H Mori - 2023 IEEE PES Innovative Smart Grid …, 2023 - ieeexplore.ieee.org
In this paper, a new method is proposed for wind power generation output forecasting. It
makes use of Radial Basis Function Network (RBFN) of Artificial Neural Network (ANN) …
makes use of Radial Basis Function Network (RBFN) of Artificial Neural Network (ANN) …
A New Robust Bidding Approach for Wind Power Producers Participating in Competitive Power Markets with Correlated Market Prices
H Daneshvari, R Shafaei - Scientia Iranica, 2022 - scientiairanica.sharif.edu
In this research, a bidding problem for a wind-power plant participating in a day-ahead
power market with uncertain correlated market prices is studied. A new robust optimization …
power market with uncertain correlated market prices is studied. A new robust optimization …
ウェーブレット変換を用いた RBFN 型 ELM ネットワークによる風力発電出力予測
渡辺航太郎， 森啓之 - 電気学会論文誌 B (電力・エネルギー部門誌), 2023 - jstage.jst.go.jp
抄録 This paper proposes an efficient method for wind power generation output forecasting.
The proposed method is based on Radial Basis Function Network (RBFN) of Artificial Neural …
The proposed method is based on Radial Basis Function Network (RBFN) of Artificial Neural …