[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 …
[HTML][HTML] A systematic review of machine learning techniques related to local energy communities
In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …
processes in several sectors, as in the case of electrical power systems. Machine learning …
Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning
In this paper, an intelligent multi-microgrid (MMG) energy management method is proposed
based on deep neural network (DNN) and model-free reinforcement learning (RL) …
based on deep neural network (DNN) and model-free reinforcement learning (RL) …
[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 critical and comparative review of energy management strategies for microgrids
Energy management (EM) can be defined as the process of monitoring, planning,
optimizing, and saving energy to obtain an energy-efficient system. A microgrid (MG) is …
optimizing, and saving energy to obtain an energy-efficient system. A microgrid (MG) is …
Deep reinforcement learning for autonomous internet of things: Model, applications and challenges
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …
around the world, where the IoT devices collect and share information to reflect status of the …
Recent developments of energy management strategies in microgrids: An updated and comprehensive review and classification
Energy is one of the essential foundations for the sustainable development of human
society, so its management is necessary. Energy management system (EMS) can be …
society, so its management is necessary. Energy management system (EMS) can be …
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
C Ying, W Wang, J Yu, Q Li, D Yu, J Liu - Journal of Cleaner Production, 2023 - Elsevier
In order to identify power production and demand in realtime for efficient and dependable
management for diverse renewable energy systems, precise and intuitive renewable energy …
management for diverse renewable energy systems, precise and intuitive renewable energy …
[HTML][HTML] Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes
Microgrids are gaining popularity by facilitating distributed energy resources (DERs) and
forming essential consumer/prosumer centric integrated energy systems. Integration …
forming essential consumer/prosumer centric integrated energy systems. Integration …
Deep reinforcement learning for EV charging navigation by coordinating smart grid and intelligent transportation system
T Qian, C Shao, X Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
A coordinated operation of smart grid (SG) and intelligent transportation system (ITS)
provides electric vehicle (EV) owners with a myriad of power and transportation network …
provides electric vehicle (EV) owners with a myriad of power and transportation network …