The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

The transformation of passive distribution systems to more active ones thanks to the
increased penetration of distributed energy resources, such as dispersed generators …

Power systems are the most complex systems and have great importance in modern life.
They have direct impacts on the modernization, economic, political and social aspects. To …

The notion of secure operation of power systems, with its present semantic, dates back to the
last decade. Since then, tremendous research effort has investigated secure operation of the …

The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …

Driven by technological progress and growing global attention for sustainability, the
adoption of electric vehicles (EVs) is on the rise. Large-scale EV adoption would both disrupt …

Although microgrids facilitate the increased penetration of distributed generations (DGs) and
improve the security of power supplies, they have some issues that need to be better …

In last few years, many countries in the world have shown huge interest in smart grid
technology. They are facing many challenges in the process of deployment of this …

Bi-level optimization and reinforcement learning (RL) constitute the state-of-the-art
frameworks for modeling strategic bidding decisions in deregulated electricity markets …