Reinforcement learning and its applications in modern power and energy systems: A review
With the growing integration of distributed energy resources (DERs), flexible loads, and
other emerging technologies, there are increasing complexities and uncertainties for …
other emerging technologies, there are increasing complexities and uncertainties for …
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] Recent advancements of robotics in construction
Deep learning in power systems research: A review
With the rapid growth of power systems measurements in terms of size and complexity,
discovering statistical patterns for a large variety of real-world applications such as …
discovering statistical patterns for a large variety of real-world applications such as …
Model-free real-time autonomous control for a residential multi-energy system using deep reinforcement learning
Multi-energy systems (MES) are attracting increasing attention driven by its potential to offer
significant flexibility in future smart grids. At the residential level, the roll-out of smart meters …
significant flexibility in future smart grids. At the residential level, the roll-out of smart meters …
Restoration of smart grids: Current status, challenges, and opportunities
Smart grids, which constitute intelligent infrastructure in smart cities, provide reliable, energy-
efficient, and high-quality power to improve the standard of living while maintaining a …
efficient, and high-quality power to improve the standard of living while maintaining a …
Resilient distribution networks by microgrid formation using deep reinforcement learning
Resilience becomes vital for power grids facing the increasingly frequent extreme weather
events. Microgrid formation is a promising way to achieve resilient distribution networks …
events. Microgrid formation is a promising way to achieve resilient distribution networks …