This paper proposes a new framework for Smart Distribution Networks (SDN) operation by
leveraging data centers' spatial–temporal flexibility. Combining this flexibility with Battery …

Artificial intelligence (AI) and machine learning (ML) can assist in the effective development
of the power system by improving reliability and resilience. The rapid advancement of AI and …

Complex, non-linear systems with diverse consumption, generation, and storage
technologies require advanced energy management by considering several factors …

This paper studies the effect of the number of switching (NOS) per day of capacitor banks on
loss reduction in radial distribution systems. To this aim, the daytime (more precisely, 24 h) is …

Demand response, and artificial intelligence integration with it, have a considerable effect in
optimizing energy consumption, grid stability, and promoting sustainable energy practices …

Intelligent fault detection considered as a paramount importance in Power Electronics
Systems (PELS) to ensure operational reliability along with rising complexities and critical …

Integrating renewable energy sources (RESs), such as offshore wind turbines (OWTs), into
the power grid demands advanced control strategies to enhance efficiency and stability …

Intelligent control methodologies and artificial intelligence (AI) are essential components for
the efficient management of energy storage modern systems, specifically those utilizing …

In smart cities, sustainable development depends on energy load prediction since it directs
utilities in effectively planning, distributing and generating energy. This work presents a …

An attention‐based long short‐term memory (ALSTM)‐fast model predictive control (MPC)
thermal regulation system for buildings is presented. The proposed system is developed to …