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Reinforcement learning-based intelligent control strategies for optimal power management in advanced power distribution systems: A survey
Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …
Prospects and challenges of reinforcement learning-based HVAC control
Increasing worldwide energy demand and the resulting escalations in greenhouse gas
emissions require a reassessment of energy usage in many sectors. The building industry …
emissions require a reassessment of energy usage in many sectors. The building industry …
Clue: Safe model-based rl hvac control using epistemic uncertainty estimation
Model-Based Reinforcement Learning (MBRL) has been widely studied for Heating,
Ventilation, and Air Conditioning (HVAC) control in buildings. One of the fundamental …
Ventilation, and Air Conditioning (HVAC) control in buildings. One of the fundamental …
[HTML][HTML] A laboratory test of an offline-trained multi-agent reinforcement learning algorithm for heating systems
This paper presents a laboratory study of Offline-trained Reinforcement Learning (RL)
control of a Heating Ventilation and Air-Conditioning (HVAC) system. We conducted the …
control of a Heating Ventilation and Air-Conditioning (HVAC) system. We conducted the …
Fast human-in-the-loop control for HVAC systems via meta-learning and model-based offline reinforcement learning
Reinforcement learning (RL) methods can be used to develop a controller for the heating,
ventilation, and air conditioning (HVAC) systems that both saves energy and ensures high …
ventilation, and air conditioning (HVAC) systems that both saves energy and ensures high …
A critical review of safe reinforcement learning techniques in smart grid applications
VH Bui, S Das, A Hussain, GV Hollweg… - ar** and applying reinforcement learning (RL) …
Diversity for transfer in learning-based control of buildings
The application of reinforcement learning to the optimal control of building systems has
gained traction in recent years as it can cut the building energy consumption and improve …
gained traction in recent years as it can cut the building energy consumption and improve …
Energy allocation for vehicle-to-grid settings: A low-cost proposal combining DRL and VNE
As electric vehicle (EV) ownership becomes more commonplace, partly due to government
incentives, there is a need also to design solutions such as energy allocation strategies to …
incentives, there is a need also to design solutions such as energy allocation strategies to …
A critical review of safe reinforcement learning strategies in power and energy systems
The high penetration of distributed energy resources (DERs) in modern smart power
systems introduces unforeseen uncertainties for the electricity sector, leading to increased …
systems introduces unforeseen uncertainties for the electricity sector, leading to increased …