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 …
Applications of reinforcement learning for building energy efficiency control: A review
Q Fu, Z Han, J Chen, Y Lu, H Wu, Y Wang - Journal of Building Engineering, 2022 - Elsevier
The wide variety of smart devices equipped in modern intelligent buildings and the
increasing comfort requirements of occupants for the environment make the control of …
increasing comfort requirements of occupants for the environment make the control of …
Real-time optimal energy management of microgrid with uncertainties based on deep reinforcement learning
C Guo, X Wang, Y Zheng, F Zhang - Energy, 2022 - Elsevier
Microgrid (MG) is an effective way to integrate renewable energy into power system at the
consumer side. In the MG, the energy management system (EMS) is necessary to be …
consumer side. In the MG, the energy management system (EMS) is necessary to be …
Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality
Energy crisis and environmental pollution have expedited the transition of the energy
system. Global use of low-carbon energy has increased from 1: 6.16 to 1: 5.37. Smart energy …
system. Global use of low-carbon energy has increased from 1: 6.16 to 1: 5.37. Smart energy …
Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization
Environmental and climate change concerns are pushing the rapid development of new
energy resources (DERs). The Energy Internet (EI), with the power-sharing functionality …
energy resources (DERs). The Energy Internet (EI), with the power-sharing functionality …
Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach
Significant dependence on fossil fuels and freshwater shortage are common problems in
remote and arid regions. In this context, the operation of a wind-solar-diesel-battery-reverse …
remote and arid regions. In this context, the operation of a wind-solar-diesel-battery-reverse …
Operational optimization for off-grid renewable building energy system using deep reinforcement learning
With the application of renewable energy in single office buildings, an increasing number of
power grids require building systems coupled with renewable energy to realize off-grid …
power grids require building systems coupled with renewable energy to realize off-grid …
Methodology for multi-objective optimization of wind turbine/battery/electrolyzer system for decentralized clean hydrogen production using an adapted power …
H Tebibel - Energy Conversion and Management, 2021 - Elsevier
In this study, the utilization of renewable energy sources (RESs) like wind energy for clean
hydrogen production via water electrolysis in small-scale decentralized plant is addressed …
hydrogen production via water electrolysis in small-scale decentralized plant is addressed …
Techno-economic analysis of both on-grid and off-grid hybrid energy system with sensitivity analysis for an educational institution
JJD Nesamalar, S Suruthi, SC Raja… - Energy Conversion and …, 2021 - Elsevier
Abstract The Renewable Energy Sources (RES) have marked a new trend in the Indian
energy market and sustainable energy development. In countries like India, the consumers …
energy market and sustainable energy development. In countries like India, the consumers …
Soft actor-critic–based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy
As an essential development direction of energy internet, integrated energy system with
interdisciplinary techniques is of great significance to promote multi-energy cooperation …
interdisciplinary techniques is of great significance to promote multi-energy cooperation …