The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …

With the growing integration of distributed energy resources (DERs), flexible loads, and
other emerging technologies, there are increasing complexities and uncertainties for …

Smart cities employ technology and data to increase efficiencies, economic development,
sustainability, and life quality for citizens in urban areas. Inevitably, clean technologies …

With large-scale integration of renewable generation and distributed energy resources,
modern power systems are confronted with new operational challenges, such as growing …

Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …

This article proposesa novel federated reinforcement learning (FRL) approach for the
energy management of multiple smart homes with home appliances, a solar photovoltaic …

Nowadays, energy plays a prominent role in all aspects of our life. So far, unclean and non-
renewable energy, which has severe economic and environmental impacts, dominant the …

With rising energy costs and concerns about environmental sustainability, there is a growing
need to deploy Home Energy Management Systems (HEMS) that can efficiently manage …