With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …

The communication network development and rising penetration of prosumers in distribution
networks pave the way to emerge a fully decentralized energy transactions framework …

Renewable energy is the most dependable and universally acknowledged way of meeting
the world's expanding energy needs. In order to optimize solar energy generation, particular …

In this paper, Chaotic Aquila Optimization has been proposed for the solution of the demand
response program of a grid-connected residential microgrid (GCRMG) system. Here, the …

This paper presents a new robust scheduling model for an islanded microgrid (MG)
considering demand response. The model is expressed as a min–max bilevel optimization …

Energy is essential in our daily lives to increase human development, which leads to
economic growth and productivity. In recent national development plans and policies …

This article presents the results of a quantitative survey conducted on 4000 electric energy
consumers in Spain, France, Italy, and Denmark. The results demonstrate differences in the …

Sweden's goal of 100% renewable electricity generation by 2040 requires investments in
intermittent electricity production (eg wind power). However, increasing the share of …

In recent years, there has been a noticeable change in the flow of reactive power in power
network systems around the world. A part of this change could be due to residential …