Abstract Transactive Energy Control (TEC) paradigm enables involving Microgrids (MGs) in
the energy management procedure to realize the transition of energy systems using market …

Microgrid systems play a pivotal role in the integration of renewable energy sources and
enhancing electrical grid resilience. Deep Reinforcement Learning (DRL), a subset of …

With the increasing penetration of renewable energy and flexible loads in smart grids, a
more complicated power system with high uncertainty is gradually formed, which brings …

Greenhouses are key to ensuring food security and realizing a sustainable future for
agriculture. However, to ensure crop growth efficiency, greenhouses consume a significant …

Demand response providers (DRPs) play a crucial role in the retail electricity markets as
they bridge the gap between the distribution systems operator (DSO) and end participants …

Residential energy consumption continues to climb steadily, requiring intelligent energy
management strategies to reduce power system pressures and residential electricity bills …

Peer-to-Peer (P2P) energy trading platforms envisioned energy sectors to satisfy the
increasing demand for energy. The vision of this paper is not only to trade energy but also to …

In smart electric grid systems, various sensors and Internet of Things (IoT) devices are used
to collect electrical data at substations. In a traditional system, a multitude of energy-related …

Multi-agent deep reinforcement learning (MADRL) has been applied to EV charging
scheduling. However, it relies on centralized training and thus is significantly challenged by …

To counter the significant contribution of buildings to global energy consumption and
greenhouse gas emissions, participation in demand response programs incentivizes grid …