Search Results - "Choi, Dae Hyun"

Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources by Lee, Sangyoon, Choi, Dae-Hyun

“…This article proposesa novel federated reinforcement learning (FRL) approach for the energy management of multiple smart homes with home appliances, a solar…”
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Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach by Shin, MyungJae, Choi, Dae-Hyun, Kim, Joongheon

“…This article proposes a novel multiagent deep reinforcement learning method for the energy management of distributed electric vehicle charging stations with a…”
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Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach by Lee, Sangyoon, Choi, Dae-Hyun

“…This paper presents a hierarchical deep reinforcement learning (DRL) method for the scheduling of energy consumptions of smart home appliances and distributed…”
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Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home Appliances by Lee, Sangyoon, Choi, Dae-Hyun

“…This paper presents a data-driven approach that leverages reinforcement learning to manage the optimal energy consumption of a smart home with a rooftop solar…”
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Distributionally Robust Model Predictive Control for Smart Electric Vehicle Charging Station with V2G/V2V Capability by Nguyen, Hoang Tien, Choi, Dae-Hyun

“…This paper proposes a distributionally robust model predictive control (DRMPC) for energy management of a vehicle-to-grid (V2G)/vehicle-to-vehicle…”
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Vulnerability Assessment of Conservation Voltage Reduction to Load Redistribution Attack in Unbalanced Active Distribution Networks by Choeum, Daranith, Choi, Dae-Hyun

“…This article proposes a new type of load redistribution attack on a closed-loop conservation voltage reduction (CVR) in an unbalanced three-phase distribution…”
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Decentralized Distributionally Robust Coordination Between Distribution System and Charging Station Operators in Unbalanced Distribution Systems by Nguyen, Hoang Tien, Choi, Dae-Hyun

“…Coordination between the distribution system operator (DSO) and charging station operators (CSOs) is crucial for ensuring stable and economical operation of…”
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Fully Distributed State Estimation for Wide-Area Monitoring Systems by Le Xie, Dae-Hyun Choi, Kar, Soummya, Poor, H. V.

“…This paper presents a fully distributed state estimation algorithm for wide-area monitoring in power systems. Through iterative information exchange with…”
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Optimal Energy Management Framework for Truck-Mounted Mobile Charging Stations Considering Power Distribution System Operating Conditions by Jeon, Soi, Choi, Dae-Hyun

“…A high charging demand from many electric vehicles (EVs) at a fixed charging station (FCS) with a limited number of charging poles can increase the waiting…”
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Distributionally Robust Safety Filter for Learning-Based Control in Active Distribution Systems by Nguyen, Hoang Tien, Choi, Dae-Hyun

“…Operational constraint violations may occur when deep reinforcement learning (DRL) agents interact with real-world active distribution systems to learn their…”
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Multi-Agent Framework for Service Restoration in Distribution Systems With Distributed Generators and Static/Mobile Energy Storage Systems by Prabawa, Panggah, Choi, Dae-Hyun

“…This paper presents a multi-agent system (MAS)-based approach for service restoration in a distribution system with distributed generators (DGs), static energy…”
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Privacy-Preserving Energy Management of a Shared Energy Storage System for Smart Buildings: A Federated Deep Reinforcement Learning Approach by Lee, Sangyoon, Xie, Le, Choi, Dae-Hyun

“…This paper proposes a privacy-preserving energy management of a shared energy storage system (SESS) for multiple smart buildings using federated reinforcement…”
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Sample-Efficient Learning for a Surrogate Model of Three-Phase Distribution System by Nguyen, Hoang Tien, Kim, Young-Jin, Choi, Dae-Hyun

“…A surrogate model that accurately predicts distribution system voltages is crucial for reliable smart grid planning and operation. This letter proposes a…”
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Data Perturbation-Based Sensitivity Analysis of Real-Time Look-Ahead Economic Dispatch by Choi, Dae-Hyun, Xie, Le

“…In this paper, the sensitivity of look-ahead economic dispatch in real-time power markets with respect to data perturbation is studied. In the look-ahead…”
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Ramp-Induced Data Attacks on Look-Ahead Dispatch in Real-Time Power Markets by Dae-Hyun Choi, Le Xie

“…This paper presents a new class of false data injection attacks on state estimation, which may lead to financial arbitrage in real-time power markets with an…”
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Optimal household appliance scheduling considering consumer's electricity bill target by Joo, Il-Young, Choi, Dae-Hyun

“…This paper presents an optimization algorithm that schedules the operations of household appliances to minimize the monthly electricity bill and maintain…”
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Three-Stage Deep Reinforcement Learning for Privacy-and Safety-Aware Smart Electric Vehicle Charging Station Scheduling and Volt/VAR Control by Lee, Sangyoon, Choi, Dae-Hyun

“…This paper proposes a three-stage privacy-and safety-aware deep reinforcement learning framework for coordinating smart electric vehicle charging stations…”
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Distributed Optimization Framework for Energy Management of Multiple Smart Homes With Distributed Energy Resources by Joo, Il-Young, Choi, Dae-Hyun

“…This paper proposes a distributed optimization algorithm for scheduling the energy consumption of multiple smart homes with distributed energy resources. In…”
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Two-stage scheduling of smart electric vehicle charging stations and inverter-based Volt-VAR control using a prediction error-integrated deep reinforcement learning method by Lee, Sangyoon, Choi, Dae-Hyun

“…Smart electric vehicle charging stations (EVCSs) having distributed energy resources (DERs), including photovoltaic (PV) systems and energy storage systems…”
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OLTC-Induced False Data Injection Attack on Volt/VAR Optimization in Distribution Systems by Choeum, Daranith, Choi, Dae-Hyun

“…This paper presents a new class of false data injection attacks (FDIAs) on volt/VAR optimization (VVO), which may result in abnormal voltage conditions along…”
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