[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
Reinforcement learning based EV charging management systems–a review
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
Reinforcement learning in deregulated energy market: A comprehensive review
The increasing penetration of renewable generations, along with the deregulation and
marketization of power industry, promotes the transformation of energy market operation …
marketization of power industry, promotes the transformation of energy market operation …
Deep reinforcement learning for smart grid operations: algorithms, applications, and prospects
With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …
more complicated power system with high uncertainty is gradually formed, which brings …
[HTML][HTML] A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …
with the following primary functionalities: enhancing renewable power generation …
Coordinated electric vehicle active and reactive power control for active distribution networks
The deployment of renewable energy in power systems may raise serious voltage
instabilities. Electric vehicles (EVs), owing to their mobility and flexibility characteristics, can …
instabilities. Electric vehicles (EVs), owing to their mobility and flexibility characteristics, can …
Smart charging business model framework for electric vehicle aggregators
The massive, uncontrolled charging of numerous plug-in electric vehicles is expected to
have an adverse impact on the reliable operation of the electricity networks. The flexible and …
have an adverse impact on the reliable operation of the electricity networks. The flexible and …
Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation
Due to its efficient operation and environment-friendly characteristic, gas-fired unit (GFU)
plays a more and more important role in electric power systems and natural gas systems. To …
plays a more and more important role in electric power systems and natural gas systems. To …
A distributed deep reinforcement learning method for traffic light control
This paper proposes a distributed deep reinforcement learning algorithm for the traffic light
control problem, which consists of local learning and global consensus. Firstly, the …
control problem, which consists of local learning and global consensus. Firstly, the …