This paper presents a geospatial artificial intelligence (GeoAI) approach for generating wind
power projection maps employing various Machine Learning (ML) models. These models …

This paper investigates the synergistic integration of renewable energy sources and battery
energy storage systems to enhance the sustainability, reliability, and flexibility of modern …

The integration of pumped thermal electricity storage (PTES) with concentrated solar power
(CSP) systems offers significant potential to enhance renewable energy consumption …

This paper introduces a novel energy management framework, Deep-Fuzzy Logic Control
(Deep-FLC), which combines predictive modelling using Long Short-Term Memory (LSTM) …

Integrating renewable energy resources into electrical distribution networks necessitates
using battery energy storage systems (BESSs) to manage intermittent energy generation …

The rise of renewable energy sources (RESs) and load demand implies the research of
suitable solutions to improve the operation of transmission systems. The accelerated …

Classical schedulers for Battery Energy Storage Systems (BESSs) use static power
constraints, assuming that the BESS can provide the rated power at any State-Of-Charge …

To enhance the utilization of emerging energy sources, the application of battery energy
storage systems (BESSs) was increasingly explored by investors. However, the immature …

An increase in renewable energy sources and a subsequent need for more energy-efficient
construction practices have prompted efforts to optimize energy distribution networks …

The rapid advancement of battery technology has drawn attention to the effective dispatch of
distributed battery storage systems. Batteries offer significant benefits in flexible energy …