We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …

With an increasingly wider application of the lithium-ion battery (LIB), specifically the drastic
increase of electric vehicles in cosmopolitan cities, improving the thermal and fire resilience …

With the rise in household computing power and the increasing number of smart devices,
more and more residents are able to participate in demand response (DR) management …

This paper presents the planning of a hybrid renewable system with wind turbines and bio-
waste energy units along with stationary (ie, batteries) and mobile (ie, electric vehicles) …

Deploying renewable energy and implementing smart energy management strategies are
crucial for decarbonizing Building Energy Systems (BES). Despite recent advancements in …

Reinforcement learning (RL) shows the potential to address drawbacks of rule-based control
and model predictive control and exhibits great effectiveness in heating, ventilation and air …

The increasing integration of distributed resources, such as distributed generations (DGs),
energy storage systems (ESSs), and flexible loads (FLs), has ushered in a new era for the …

Due to strict regulations and the requirement to reduce greenhouse gas emissions, electric
vehicles (BEVs) are a promising mode of transportation. The lithium battery is the most …

Reducing carbon emissions has been a focus problem with the rapidly increasing building
energy consumption. One solution is adopting more Renewable Energy Resources (RESs) …

Reinforcement Learning (RL), a promising algorithm for the operational control of Heating,
Ventilation, and Air Conditioning (HVAC) systems, has garnered considerable attention and …