The smart grid (SG) research has continued unabated; however, some challenges, such as
stability and security, cause us to focus on sustainable SG, which benefits society …

Real-time energy optimization is essential for effective load scheduling, cost reduction,
maintaining demand and supply balance, and ensuring reliable power system operations …

Energy consumption prediction has always remained a concern for researchers because of
the rapid growth of the human population and customers joining smart grids network for …

The growing energy demand and rising fossil fuel expenses in isolated and remote regions
have increased interest in renewable energy sources (RESs). However, RESs such as …

The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing
billions of intelligent objects capable of bridging the physical and virtual worlds across …

In this article, a stochastic programming model is developed to solve a multi-renewable
sources-based energy management with the help of a multi-objective improved slime mould …

Technological advancements in the energy industry have expedited the growth of the smart
grid, necessitating multidisciplinary study in power systems and management. India, the …

Distributed energy resources (DERs) and demand side management (DSM) strategy
implementation in smart grids (SGs) lead to environmental and economic benefits. In this …

This paper introduces a Modified Reptile Search Algorithm (MRSA) designed to optimize the
operation of distribution networks (DNs) considering the growing integration of renewable …

Multi-objective energy optimization is pivotal for reliable and secure power system
operation. However, multi-objective energy optimization is challenging due to …