[HTML][HTML] Solar energy harvesting technologies for PV self-powered applications: A comprehensive review
Many key aspects of society, such as transport, housing and health care, have been
significantly improved by the advent of a range of electricity applications, and the power …
significantly improved by the advent of a range of electricity applications, and the power …
[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 …
Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-UAV control
CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key
technology for security in smart city environments. This article creates a case where the …
technology for security in smart city environments. This article creates a case where the …
[HTML][HTML] Market mechanisms for local electricity markets: A review of models, solution concepts and algorithmic techniques
The rapidly increasing penetration of distributed energy resources (DERs) calls for a
hierarchical framework where aggregating entities handle the energy management …
hierarchical framework where aggregating entities handle the energy management …
Reinforcement learning based EV charging management systems–a review
HM Abdullah, A Gastli, L Ben-Brahim - IEEE Access, 2021 - ieeexplore.ieee.org
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 …
Deep learning in smart grid technology: A review of recent advancements and future prospects
The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …
a promising landscape for high grid reliability and efficient energy management. This …
Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
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' …
[HTML][HTML] Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation
In recent years, the importance of electric mobility has increased in response to climate
change. The fast-growing deployment of electric vehicles (EVs) worldwide is expected to …
change. The fast-growing deployment of electric vehicles (EVs) worldwide is expected to …
Learning to operate an electric vehicle charging station considering vehicle-grid integration
The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV
charging stations. To maximize the profitability of charging stations, intelligent controllers …
charging stations. To maximize the profitability of charging stations, intelligent controllers …
Multi-agent reinforcement learning for decentralized resilient secondary control of energy storage systems against DoS attacks
While distributed secondary controllers have been studied for multiple energy storage
systems in islanded microgrids, information infrastructure has to be added for the extensive …
systems in islanded microgrids, information infrastructure has to be added for the extensive …