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 …

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 …

The stability of the power grid is concernment due to the high demand and supply to smart
cities, homes, factories, and so on. Different machine learning (ML) and deep learning (DL) …