Microgrids technologies are seen as a cost effective and reliable solution to handle
numerous challenges, mainly related to climate change and power demand increase. This is …

The energy sector is undergoing a paradigm shift among all the stages, from generation to
the consumer end. The affordable, flexible, secure supply–demand balance due to an …

Abstract Peer-to-peer (P2P) energy exchange is a popular market mechanism which
enables the transaction of energy in local communities. The advantages of this method for …

The uncertainties originating from electricity markets, renewable distributed generations
(RDG) and multi-energy loads pose huge challenges to the optimal energy management of …

The increasing role of distribution networks as an active entity in the whole power and
energy system, development of a unified power flow method to provide an integrated …

This article investigates the ability of graph neural networks (GNNs) to identify risky
conditions in a power grid over the subsequent few hours, without explicit, high-resolution …

Switched model predictive control (S-MPC) and recurrent neural networks with long short-
term memory (RNN-LSTM) are powerful control methods that have been extensively studied …

The development of a scheduling strategy for an islanded microgrid (IMG) is critical for
ensuring the system's stability and economic efficiency. Traditional scheduling strategies for …

The energy optimization in smart power grids (SPGs) is crucial for ensuring efficient,
sustainable, and cost-effective energy management. However, the uncertainty and …

Recent trends in climate change have led to more frequent extreme weather events, such as
typhoons and wildfires. These events pose significant risks to power grids, especially as we …