Energy transition is necessary in order to reduce the utilization of fossil based energy
sources and to secure the necessary reduction of hazardous impact to the environment. The …

There has been a notable increase in awareness within the scientific community regarding
the advancement of cognitive approaches designed to address the inherent vulnerabilities …

The need for data-driven technologies such as artificial intelligence (AI), machine learning
(ML), and deep learning (DL) in various sectors has been soaring for over a decade. The …

Smart grids provide many benefits to the technological era, although they need to be
optimized. The smart grid uses many optimizing methods to save energy, reduce costs, and …

During the development cycle of software projects, numerous defects and challenges have
been identified, leading to prolonged project durations and escalated costs. As a result, both …

This paper presents an optimal framework for demand response aggregators in wholesale
electricity markets. Demand response aggregators provide customers with flexible contracts …

This study introduces a smart home load scheduling system that aims to address concerns
related to energy conservation and environmental preservation. A comprehensive demand …

The advent of smart grids (SG) has provided residents the opportunity to incorporate
renewable energy and demand response (DR) into the electricity market for optimal demand …

A reliable power system operation depends on the optimal scheduling of power usage
(Wang et al., 2021a; Liu et al., 2023a). However, devising a framework for optimal power …

Demand-Side Management is a set of various optimization techniques and/or strategies
based on techno-economic factors which focuses on planning, implementation and …