Reinforcement learning in sustainable energy and electric systems: A survey
The dynamic nature of sustainable energy and electric systems can vary significantly along
with the environment and load change, and they represent the features of multivariate, high …
with the environment and load change, and they represent the features of multivariate, high …
[HTML][HTML] Applications of reinforcement learning in energy systems
ATD Perera, P Kamalaruban - Renewable and Sustainable Energy …, 2021 - Elsevier
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …
renewable energy technologies and improve efficiencies, leading to the integration of many …
Reinforcement learning and its applications in modern power and energy systems: A review
With the growing integration of distributed energy resources (DERs), flexible loads, and
other emerging technologies, there are increasing complexities and uncertainties for …
other emerging technologies, there are increasing complexities and uncertainties for …
(Deep) reinforcement learning for electric power system control and related problems: A short review and perspectives
M Glavic - Annual Reviews in Control, 2019 - Elsevier
This paper reviews existing works on (deep) reinforcement learning considerations in
electric power system control. The works are reviewed as they relate to electric power …
electric power system control. The works are reviewed as they relate to electric power …
A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution
AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
Reinforcement learning energy management for fuel cell hybrid systems: A review
Reinforcement learning (RL) is an increasingly popular technique for hybrid system energy
management. However, the existing review literature has not emphasized the training …
management. However, the existing review literature has not emphasized the training …
A systematic study on reinforcement learning based applications
K Sivamayil, E Rajasekar, B Aljafari, S Nikolovski… - Energies, 2023 - mdpi.com
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Review and evaluation of reinforcement learning frameworks on smart grid applications
With the rise in electricity, gas and oil prices and the persistently high levels of carbon
emissions, there is an increasing demand for effective energy management in energy …
emissions, there is an increasing demand for effective energy management in energy …
Reinforcement learning for electric power system decision and control: Past considerations and perspectives
In this paper, we review past (including very recent) research considerations in using
reinforcement learning (RL) to solve electric power system decision and control problems …
reinforcement learning (RL) to solve electric power system decision and control problems …
Reinforcement learning testbed for power-consumption optimization
Common approaches to control a data-center cooling system rely on approximated
system/environment models that are built upon the knowledge of mechanical cooling and …
system/environment models that are built upon the knowledge of mechanical cooling and …