The global energy transition, driven by the imperative to mitigate climate change, demands
innovative solutions to address the technical, economic, and social challenges of …

This paper presents a comprehensive bibliometric review and visualization of smart and
sustainable energy consumption, delving into the challenges and opportunities of …

The rapidly evolving technological landscape, fuelled by AI, has become a global focal
point, while optimized robotic energy consumption offers significant productivity gains for …

The integration of Artificial Intelligence (AI) into sustainable energy management presents a
transformative opportunity to elevate the sustainability, reliability, and efficiency of energy …

The proliferation of electric vehicle (EV) adoption strains low-voltage distribution networks,
particularly in aggregated charging scenarios, prompting utility companies to incentivize …

The transition of the automotive sector to electric vehicles (EVs) necessitates research on
charging demand forecasting for optimal station placement and capacity planning. In the …

Background Renewable energy and climate change are vital aspects of humanity. Energy is
needed to sustain life on Earth. The exploration and utilisation of traditional fossil-based …

Behind the meter (BTM) distributed energy resources (DERs), such as photovoltaic (PV)
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …

Abstract Real-time Short-Term Load Forecasting (STLF) is crucial for energy management
and power system operations. Conventional Machine Learning (ML) methodologies for …

Reduced environmental impacts, lower operating costs, and a stable, sustainable energy
supply for current and future generations are the main reasons why power optimization is …