Results 1 to 10 of about 55,332 (269)
Energies, 2021 In this paper, a chance-constrained (CC) framework is developed to manage the voltage control problem of medium-voltage (MV) distribution systems subject to model uncertainty.
Bashir Bakhshideh Zad +2 more
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Machine Learning-Based Classification of Electrical Low Voltage Cable Degradation
Energies, 2021 Low voltage distribution networks have not been traditionally designed to accommodate the large-scale integration of decentralized photovoltaic (PV) generations.
Egnonnumi Lorraine Codjo +4 more
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Algorithms, 2022 Bayesian Optimization (BO) with Gaussian process regression is a popular framework for the optimization of time-consuming cost functions. However, the joint exploitation of BO and parallel processing capabilities remains challenging, despite intense ...
Maxime Gobert +5 more
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Energies, 2020 This paper addresses the voltage control problem in medium-voltage distribution networks. The objective is to cost-efficiently maintain the voltage profile within a safe range, in presence of uncertainties in both the future working conditions, as well ...
Jean-François Toubeau +4 more
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Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities
Energies, 2020 Renewable Energy Communities consist in an emerging decentralized market mechanism which allows local energy exchanges between end-users, bypassing the traditional wholesale/retail market structure.
Zacharie De Grève +7 more
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The competition and equilibrium in power markets under decarbonization and decentralization
iEnergy, 2022 Equilibrium analysis has been widely studied as an effective tool to model gaming interactions and predict market results. However, as competition modes are fundamentally changed by the decarbonization and decentralization of power systems, analysis ...
Qixin Chen +9 more
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Weather biased optimal delta model for short-term load forecast
IET Smart Grid, 2020 In the current scenario of the deregulated Indian electricity market where the power demand and its availability vary remarkably, the factors playing a significant role in demand variations are often associated with the impact of unprecedented weather ...
Manish Uppal +2 more
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IET Smart Grid, 2021 Recently, the provision of the reserve from energy storage systems (ESSs) is introduced as a source for ancillary services to address the uncertainties of renewable power generations.
M. Habibi +3 more
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Deep learning for day-ahead electricity price forecasting
IET Smart Grid, 2020 Deregulation exposes the inherent volatility of the electricity price. Accurate electricity price forecasting (EPF) could help the market participants to hedge against the price movements and maximise their profits.
Chi Zhang +4 more
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Light robustness model for the bidding strategy of an electric vehicle aggregator
IET Smart Grid, 2021 Considering the uncertainties of the behaviour of electric vehicles (EVs) and the bidding of other participants in the market, the light robustness bidding model for the EV aggregator in the day‐ahead market is constructed.
Xin Gong, Fei Wang, Yu Su, Qiangqiang Xu
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