This review offers an in-depth examination of Deep Learning (DL) and Machine Learning
(ML) techniques for smart grid load forecasting, emphasizing language precision …

Abstract DIAZ-MARTINEZ, MA; ROMAN-SALINAS, RV; RUIZ-HERNANDEZ, S. and AZUARA-
ARTEAGA, D.. The Internet of Things as an essential element for the benefit of the energy …

This research paper explains the structural design, implementation and working process of
an IoT-based Energy Meter for solar energy measurement with the ESP32 microcontroller …

Photovoltaic (PV) systems have gained global significance as a sustainable and renewable
energy resource, playing a pivotal role in mitigating climate change and meeting growing …

Energy is utilized in a different form across the globe, which includes electrical and
mechanical energy. To increase the efficiency of renewable energy, which comes from a …

Recent advancements have involved the use of intelligent, digitally based control systems to
convert energy into finished goods. In today's businesses, everything is managed and …

This research used Grey Wolf Optimisation (GWO)-assisted ANFIS MPPT for single-phase
grid-connected renewable energy systems. These energy sources' carbon emissions have …

A bidirectional converter (BDC) designed with high voltage gain and it is incorporated with
the soft-switching operations to the insulated gate bipolar transistors (IGBTs). The main dual …

Voltage stability in the distribution system is jeopardized by the growing number of DG
connections. Stabilize voltage via reactive power compensators like STATCOM. The intricate …

Background: Modern electrical distribution networks are the backbone of the global energy
system, supporting the transmission of power from generation sources to end users [1-3] …