Review on deep learning applications in frequency analysis and control of modern power system
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …
regional power grids in wide area and large scale have led the modern power system to …
[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 …
A review of deep reinforcement learning for smart building energy management
Global buildings account for about 30% of the total energy consumption and carbon
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
Sustainable cyber-physical production systems in big data-driven smart urban economy: a systematic literature review
M Andronie, G Lăzăroiu, M Iatagan, I Hurloiu… - Sustainability, 2021 - mdpi.com
In this article, we cumulate previous research findings indicating that cyber-physical
production systems bring about operations shaping social sustainability performance …
production systems bring about operations shaping social sustainability performance …
Reinforcement learning for selective key applications in power systems: Recent advances and future challenges
With large-scale integration of renewable generation and distributed energy resources,
modern power systems are confronted with new operational challenges, such as growing …
modern power systems are confronted with new operational challenges, such as growing …
[HTML][HTML] A review on reinforcement learning for contact-rich robotic manipulation tasks
Í Elguea-Aguinaco, A Serrano-Muñoz… - Robotics and Computer …, 2023 - Elsevier
Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning
Dynamic energy dispatch is an integral part of the operation optimization of integrated
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …
A review of machine learning approaches to power system security and stability
Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …
importantly, the integrations of various monitoring, measuring and communication …
[HTML][HTML] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …
power generation has become essential for the economical and safe operation of both …
A review of second-life lithium-ion batteries for stationary energy storage applications
The large-scale retirement of electric vehicle traction batteries poses a huge challenge to
environmental protection and resource recovery since the batteries are usually replaced …
environmental protection and resource recovery since the batteries are usually replaced …