Microgrids are an emerging technology that offers many benefits compared with traditional
power grids, including increased reliability, reduced energy costs, improved energy security …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Many citizens of European countries may soon experience a long and extensive blackout.
The lack of predictability in the output of renewable energy sources, aggravating the …

Peer-to-peer (P2P) energy trading facilitates both consumers and prosumers to exchange
energy without depending on an intermediate medium. This system makes the energy …

The danger of a total blackout in a wide area or, even worse, in a country is always present.
The restoration methods after a blackout mainly focus on the strategy that the dispatchers in …

New methods for state estimation are required due to the complexity of the topology of
transmission and distribution systems, and the predictability in the management of prosumer …

Abstract Local Electricity Markets (LEMs) arise as new layers of current market designs,
enabling local trading of flexibility products. In many cases, LEMs encompass several …

This paper presents atechnical and economic analysis of the proposed solar PV/diesel
generator smart hybrid power plant for a part of SRM IST, Delhi-NCR campus. The analysis …

The transmission and distribution systems are essential in facilitating power flow from the
source multiple loads over large distances with high magnitudes of voltages and currents …

This paper mainly dealt with the technical and economic feasibility of an off-grid hybrid
power generation system for a remote rural Turtuk village of Ladakh, located in the northern …