Graph Reinforcement Learning for Power Grids: A Comprehensive Survey
The rise of renewable energy and distributed generation requires new approaches to
overcome the limitations of traditional methods. In this context, Graph Neural Networks are …
overcome the limitations of traditional methods. In this context, Graph Neural Networks are …
[HTML][HTML] Reinforcement Learning for EV Fleet Smart Charging with On-Site Renewable Energy Sources
In 2020, the transportation sector was the second largest source of carbon emissions in the
UK and in Newcastle upon Tyne, responsible for about 33% of total emissions. To support …
UK and in Newcastle upon Tyne, responsible for about 33% of total emissions. To support …
DC Nanogrid using IEC 61850
GW Kang, JW Park, SH Shin… - 2023 25th International …, 2023 - ieeexplore.ieee.org
Small-scale power grids are considered as a ways to improve energy efficiency and reduce
greenhouse gas emissions. The DC nanogrid is a low-voltage and low-power digital power …
greenhouse gas emissions. The DC nanogrid is a low-voltage and low-power digital power …