A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …

In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

Due to the increasing penetration of renewable energy source, power system is facing
significant uncertainties. How to fully consider those uncertainties in dynamic economic …

This chapter gives a brief introduction to the history of deep learning and the associated
concepts. One step further, various deep learning applications in the area of power systems …

This paper proposes a novel approach for dynamic economic dispatch (DED) of distribution
networks, based on graph-generative adversarial network (Graph-GAN) assisted inverse …

The increasing integration of renewable energy sources (RESs) presents significant
challenges for the safe and economical operation of power grids. Addressing the critical …

The growing integration of renewable energy generation manifests as an effective strategy
for reducing carbon emissions. This paper strives to maximize this potential by enhancing …

The electricity supply system is currently operated with a major contribution of grid power
and a small percentage of Renewable Energy Sources (RES) which is used according to …

With the rapid increase in the installed capacity of renewable energy sources (RESs), the
uncertainty of which poses a threat to the safe and stable operation of the power grid. It is …

Multi-stochastic variable programming (MSVP) is an important tool to solve the decision-
making problem with multiple random variables. However, when there are a large number of …