The transition to sustainable energy is a key challenge of our time, requiring modifications in
the entire pipeline of energy production, storage, transmission, and consumption. At every …

Real-time decision-making in power system scheduling is imperative in response to the
increasing integration of renewable energy. This paper proposes a novel framework …

The incorporation of renewable energy into contemporary power systems poses
considerable obstacles and offers substantial potential as the global community shifts …

The availability of efficient, secure, and affordable electrical power is crucial to the
sustainability of modern communities. Energy facilities have grown to be one of the most …

Reinforcement learning (RL) has the potential to transform power grid operations by
providing adaptive, scalable controllers essential for decarbonization and grid resilience …

Artificial Intelligence (AI) systems are increasingly deployed in real-time applications that
require optimal performance and rapid adaptability. To address this need, we introduce a …