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IEEE Transactions on Smart Grid, 2023
This paper proposes a distributionally robust model predictive control (DRMPC) for energy management of a vehicle-to-grid (V2G)/vehicle-to-vehicle (V2V)-enabled smart electric vehicle charging station (EVCS) with a photovoltaic (PV) system and an energy ...
H. Nguyen, Dae-Hyun Choi
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This paper proposes a distributionally robust model predictive control (DRMPC) for energy management of a vehicle-to-grid (V2G)/vehicle-to-vehicle (V2V)-enabled smart electric vehicle charging station (EVCS) with a photovoltaic (PV) system and an energy ...
H. Nguyen, Dae-Hyun Choi
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Computers & industrial engineering, 2023
Due to the global outbreak of COVID-19, the perishable product supply chains have been impacted in different ways, and consequently, the risks of food insecurity have been increased in many affected countries.
Omid Hashemi-Amiri +2 more
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Due to the global outbreak of COVID-19, the perishable product supply chains have been impacted in different ways, and consequently, the risks of food insecurity have been increased in many affected countries.
Omid Hashemi-Amiri +2 more
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Understanding Contrastive Learning via Distributionally Robust Optimization
Neural Information Processing Systems, 2023This study reveals the inherent tolerance of contrastive learning (CL) towards sampling bias, wherein negative samples may encompass similar semantics (\eg labels). However, existing theories fall short in providing explanations for this phenomenon.
Junkang Wu +5 more
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A Distributionally Robust Optimization Based Method for Stochastic Model Predictive Control
IEEE Transactions on Automatic Control, 2022Two stochastic model predictive control algorithms, which are referred to as distributionally robust model predictive control algorithms, are proposed in this article for a class of discrete linear systems with unbounded noise.
Bin Li, Yuan Tan, A. Wu, G. Duan
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IEEE Transactions on Smart Grid, 2022
The increasing penetrations of renewable energy and electric vehicles bring more uncertainties and challenges to the existing power grid. The coordinated networked microgrids (MGs) contain renewable distributed generations (DGs) and nonrenewable DGs ...
Yongsheng Cao +6 more
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The increasing penetrations of renewable energy and electric vehicles bring more uncertainties and challenges to the existing power grid. The coordinated networked microgrids (MGs) contain renewable distributed generations (DGs) and nonrenewable DGs ...
Yongsheng Cao +6 more
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IEEE Transactions on Smart Grid, 2022
The active distribution network has witnessed an increasing penetration of distributed generation (DG) while the stochasticity and variability arising from DGs also impose significant challenges on system operation.
Anping Zhou +3 more
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The active distribution network has witnessed an increasing penetration of distributed generation (DG) while the stochasticity and variability arising from DGs also impose significant challenges on system operation.
Anping Zhou +3 more
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Distributionally Robust Optimization under Distorted Expectations
SSRN Electronic Journal, 2020Optimal Decision Making Under Distorted Expectation with Partial Distribution Information Decision makers who are not risk neutral may evaluate expected values by distorting objective probabilities to reflect their risk attitudes, a phenomenon known as distorted expectations. This concept is widely applied in behavioral economics, insurance, finance,
Jun Cai +2 more
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Computational Management Science, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. B. Philpott +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. B. Philpott +2 more
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IEEE Transactions on Sustainable Energy, 2021
A virtual energy storage (VES) model is proposed in this paper to accommodate renewable energy under a special market regulation. Such VESs can provide or consume electricity to the main power grid under the premise that the daily net electricity energy ...
Tao Ding +6 more
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A virtual energy storage (VES) model is proposed in this paper to accommodate renewable energy under a special market regulation. Such VESs can provide or consume electricity to the main power grid under the premise that the daily net electricity energy ...
Tao Ding +6 more
semanticscholar +1 more source
Journal of Modern Power Systems and Clean Energy
—— A distributionally robust scheduling strategy is pro‐ posed to address the complex benefit allocation problem in re‐ gional integrated energy systems (RIESs) with multiple stake‐ holders.
Qinglin Meng +4 more
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—— A distributionally robust scheduling strategy is pro‐ posed to address the complex benefit allocation problem in re‐ gional integrated energy systems (RIESs) with multiple stake‐ holders.
Qinglin Meng +4 more
semanticscholar +1 more source