Concepedia

Data-driven stochastic energy management of multi energy system using deep reinforcement learning

Yanting Zhou, Zhongjing Ma, Jinhui Zhang, Suli Zou

Energy · 2022 · 77 citations · 55 references

Concepts

EngineeringBuilding ScienceEnergy ManagementEnergy SystemsMachine LearningDemand-side ManagementDistributed Energy ResourcesEnergy Management StrategiesEnergy Management SystemsEnergy System ModelingReinforcement LearningDeep Reinforcement LearningEnergy Management AlgorithmsEnergy Management ControlEnergy System SimulationReal-time Energy ManagementReal-time Energy OptimizationStochastic Energy Management

References

55

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel et al. · arXiv (Cornell University) · 2018 · 3.5K citations · Full text

Computing, Computer Science, Artificial Intelligence +11

Prioritized Experience Replay

Tom Schaul, John Quan, Ioannis Antonoglou et al. · arXiv (Cornell University) · 2015 · 2K citations · Full text

Computing, Computer Science, Artificial Intelligence +12

A Model Predictive Control Approach to Microgrid Operation Optimization

Alessandra Parisio, Evangelos Rikos, Luigi Glielmo · IEEE Transactions on Control Systems Technology · 2014 · 866 citations · Full text

Natural Sciences, Computational Engineering, Capacity Planning +16

Deep Deterministic Policy Gradient (DDPG)-Based Energy Harvesting Wireless Communications

Chengrun Qiu, Yang Hu, Yan Chen et al. · IEEE Internet of Things Journal · 2019 · 376 citations

Computing, Environmental Management, Energy Management +13

Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach

Casey C. Bennett, Kris Hauser · Artificial Intelligence in Medicine · 2012 · 372 citations · Full text

Computing, Computer Science, Health Informatics +13