Research progress in fault detection of battery systems: A review
Numerous explorations have been made with the goal of achieving “carbon neutrality.”
Among them, lithium-ion batteries are an effective and efficient way to achieve this goal …
Among them, lithium-ion batteries are an effective and efficient way to achieve this goal …
[HTML][HTML] Smart optimization in battery energy storage systems: An overview
The increasing drive towards eco-friendly environment motivates the generation of energy
from renewable energy sources (RESs). The rising share of RESs in power generation …
from renewable energy sources (RESs). The rising share of RESs in power generation …
[HTML][HTML] Artificial intelligence for hydrogen-enabled integrated energy systems: A systematic review
Abstract Hydrogen-enabled Integrated Energy Systems (H-IES) stand out as a promising
solution with the potential to replace current non-renewable energy systems. However, their …
solution with the potential to replace current non-renewable energy systems. However, their …
[HTML][HTML] Machine learning-enhanced loT and wireless sensor networks for predictive analysis and maintenance in wind turbine systems
L Gong, Y Chen - International Journal of Intelligent Networks, 2024 - Elsevier
Wind power (WP) represents a Renewable Energy Source (RES) that has noticed
substantial development as people continuously search for green energy sources. Utilizing …
substantial development as people continuously search for green energy sources. Utilizing …
Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-agent Reinforcement Learning Under Mixed Demand
Abstract Demand-Responsive Transport (DRT) is an innovative mode of public
transportation that focuses on individual passenger needs by offering customized …
transportation that focuses on individual passenger needs by offering customized …