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Definition and evaluation of model-free coordination of electrical
  vehicle charging with reinforcement learning
v1v2 (latest)

Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning

IEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2018
27 September 2018
Nasrin Sadeghianpourhamami
Johannes Deleu
Chris Develder
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning"

11 / 11 papers shown
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term RewardsAdaptive Agents and Multi-Agent Systems (AAMAS), 2025
Fangqi Liu
Rishav Sen
J. P. Talusan
Ava Pettet
Aaron Kandel
Yoshinori Suzue
Ayan Mukhopadhyay
A. Dubey
OffRL
312
3
0
24 Feb 2025
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
Stavros Orfanoudakis
Nanda Kishor Panda
Peter Palensky
Pedro P. Vergara
AI4CE
528
0
0
03 Feb 2025
Distributional Reinforcement Learning-based Energy Arbitrage Strategies
  in Imbalance Settlement Mechanism
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism
Seyed soroush Karimi madahi
Bert Claessens
Chris Develder
228
12
0
23 Dec 2023
A Robust and Constrained Multi-Agent Reinforcement Learning Electric
  Vehicle Rebalancing Method in AMoD Systems
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD SystemsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Sihong He
Yue Wang
Shuo Han
Shaofeng Zou
Fei Miao
243
18
0
17 Sep 2022
Computationally efficient joint coordination of multiple electric
  vehicle charging points using reinforcement learning
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning
Manu Lahariya
Nasrin Sadeghianpourhamami
Chris Develder
92
5
0
26 Mar 2022
Optimized cost function for demand response coordination of multiple EV
  charging stations using reinforcement learning
Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learningInternational Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2019
Manu Lahariya
Nasrin Sadeghianpourhamami
Chris Develder
OffRL
103
10
0
03 Mar 2022
Learning to Operate an Electric Vehicle Charging Station Considering
  Vehicle-grid Integration
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid IntegrationIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2021
Zuzhao Ye
Yuanqi Gao
N. Yu
267
103
0
01 Nov 2021
Risk Adversarial Learning System for Connected and Autonomous Vehicle
  Charging
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
M. S. Munir
Ki Tae Kim
K. Thar
Dusit Niyato
Choong Seon Hong
186
9
0
02 Aug 2021
Data-driven control of room temperature and bidirectional EV charging
  using deep reinforcement learning: simulations and experiments
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experimentsApplied Energy (Appl. Energy), 2021
B. Svetozarevic
C. Baumann
S. Muntwiler
L. Di Natale
Melanie Zeilinger
Philipp Heer
AI4CE
256
48
0
02 Mar 2021
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable
  Generation Dispatchability
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation DispatchabilityCSEE Journal of Power and Energy Systems (CSEE-JPES), 2020
Reza Bayani
Saeed D. Manshadi
Guangyi Liu
Yawei Wang
Renchang Dai
205
21
0
22 Dec 2020
Resilient Load Restoration in Microgrids Considering Mobile Energy
  Storage Fleets: A Deep Reinforcement Learning Approach
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning ApproachIEEE Power & Energy Society General Meeting (PESGM), 2019
Shuhan Yao
Jiuxiang Gu
Peng Wang
Tianyang Zhao
Huajun Zhang
Xiaochuan Liu
110
48
0
06 Nov 2019
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