Results 271 to 280 of about 816,432 (341)
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IEEE Transactions on Smart Grid, 2023
The rapidly expanding scale of electric vehicle (EV) fleets and continuously decreasing battery costs are making vehicle-to-grid services a reality.
Ruike Lyu +4 more
semanticscholar +1 more source
The rapidly expanding scale of electric vehicle (EV) fleets and continuously decreasing battery costs are making vehicle-to-grid services a reality.
Ruike Lyu +4 more
semanticscholar +1 more source
A2TP: Aggregator-aware In-network Aggregation for Multi-tenant Learning
European Conference on Computer Systems, 2023Distributed Machine Learning (DML) techniques are widely used to accelerate the training of large-scale machine learning models. However, during training iterations, gradients need to be frequently aggregated across multiple workers, resulting in ...
Zhaoyi Li +6 more
semanticscholar +1 more source
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023The graph neural network-based collaborative filtering (CF) models user-item interactions as a bipartite graph and performs iterative aggregation to enhance performance.
Huachi Zhou +5 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2021
Adopting extreme fast charging for electric vehicles will significantly reduce the charging time for electric vehicle owners, which will improve the public acceptance of electric vehicle.
Xiaoyu Duan, Zechun Hu, Yonghua Song
semanticscholar +1 more source
Adopting extreme fast charging for electric vehicles will significantly reduce the charging time for electric vehicle owners, which will improve the public acceptance of electric vehicle.
Xiaoyu Duan, Zechun Hu, Yonghua Song
semanticscholar +1 more source
IEEE transactions on industry applications, 2021
Residential customers account for an indispensable part in the demand response (DR) program for their capability to provide flexibility when the system required.
Xiaoxing Lu +10 more
semanticscholar +1 more source
Residential customers account for an indispensable part in the demand response (DR) program for their capability to provide flexibility when the system required.
Xiaoxing Lu +10 more
semanticscholar +1 more source
Q-Learning-Based Model Predictive Control for Energy Management in Residential Aggregator
IEEE Transactions on Automation Science and Engineering, 2021This article presents a demand response scheduling model in a residential community using an energy management system aggregator. The aggregator manages a set of resources, including photovoltaic system, energy storage system, thermostatically ...
Kianoosh Ojand, H. Dagdougui
semanticscholar +1 more source
IEEE Systems Journal, 2021
This article develops a distributional locational marginal pricing (DLMP) based electric vehicle (EV) aggregator scheduling framework minimizing the congestion in the network.
Bala Sai Kiran Patnam, N. Pindoriya
semanticscholar +1 more source
This article develops a distributional locational marginal pricing (DLMP) based electric vehicle (EV) aggregator scheduling framework minimizing the congestion in the network.
Bala Sai Kiran Patnam, N. Pindoriya
semanticscholar +1 more source
IEEE Systems Journal, 2022
The aggressive goal of having a 100% renewable energy system requires preparing an appropriate infrastructure for deploying as much distributed generation (DG) as possible into the electricity network.
A. Najafi +4 more
semanticscholar +1 more source
The aggressive goal of having a 100% renewable energy system requires preparing an appropriate infrastructure for deploying as much distributed generation (DG) as possible into the electricity network.
A. Najafi +4 more
semanticscholar +1 more source
IEEE transactions on industry applications, 2021
Distributed energy resources especially wind and photovoltaic power, and demand response are highly valued in recent years for their advantages in environmental protection, sustainable development, and so on.
Xiaoxing Lu +6 more
semanticscholar +1 more source
Distributed energy resources especially wind and photovoltaic power, and demand response are highly valued in recent years for their advantages in environmental protection, sustainable development, and so on.
Xiaoxing Lu +6 more
semanticscholar +1 more source
Evaluating Multitimescale Response Capability of EV Aggregator Considering Users’ Willingness
IEEE transactions on industry applications, 2021With the wide deployment of charging piles and the development of vehicle-to-grid technology, electric vehicles (EVs) will have more opportunities to participate in the operation and scheduling of electric power system through the EV aggregator (EVA), an
Xiangchu Xu +6 more
semanticscholar +1 more source

