The traditional power system is facing significant transformations due to the integration of
emerging technologies, renewable energy sources (RES), and storage devices. This review …

With increasing prosumers employed with distributed energy resources (DER), advanced
energy management has become increasingly important. To this end, integrating demand …

Wind energy is an important source of clean energy. Due to the common trade through
bidding, many attempts have been made to apply deep reinforcement learning techniques to …

Driven by the global decarbonization effort, the rapid integration of renewable energy into
the conventional electricity grid presents new challenges and opportunities for the battery …

Virtual power plants (VPP) can increase reliability and efficiency of power systems with a
high share of renewables. However, their adoption largely depends on their profitability …

This paper presents a multi-agent Deep Reinforcement Learning (DRL) framework for
autonomous control and integration of renewable energy resources into smart power grid …

Virtual power plants (VPPs) can enhance reliability and efficiency of power systems with a
high share of renewables. However, their adoption largely depends on their profitability …

abstract The residential load sector plays a vital role in terms of its impact on overall power
balance, stability, and efficient power management. However, the load dynamics of the …

Over the next decade, fossil fuel electricity generators will remain as important as zero-
carbon renewable generators from a grid reliability perspective. Such fossil fuel generators …