With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …

Recently, the operation of distribution systems does not depend on the state or utility based
on centralized procedures, but rather the decentralization of the decisions of the distribution …

Present advancements in the power systems paved way for introducing the smart grid (SG).
A smart grid is beneficial to consumers which enables the bi-directional flow of information …

Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …

The incorporation of communication technology with Smart Grid (SG) is proposed as an
optimal solution to fulfill the requirements of the modern power system. A smart grid …

An accurate electrical Short-term Load Forecasting (STLF) is an eminent factor in the power
generation, electrical load dispatching and energy planning for the power supply …

This study examines the research climate on machine learning applications in renewable
energy (MLARE). Therefore, the publication trends (PT) and bibliometric analysis (BA) on …

This research paper presents a data-driven framework for design optimization of renewable
energy communities (RECs) in the residential sector, considering both techno-economic …

Power system planning in numerous electric utilities merely relies on the conventional
statistical methodologies, such as ARIMA for short-term electrical load forecasting, which is …

In this paper, a monitoring method for DC-DC converters in photovoltaic applications is
presented. The primary goal is to prevent catastrophic failures by detecting malfunctioning …