Abstract: Photovoltaic arrays receive varying levels of solar radiation due to factors such as shadows created by clouds, surrounding buildings, and other obstructions. Therefore, an effective Maximum ...

ABSTRACT: The increasing energy demand and initiatives to lower carbon emissions have elevated the significance of renewable energy sources. Photovoltaic (PV) systems are pivotal in converting solar ...

ABSTRACT: The increasing energy demand and initiatives to lower carbon emissions have elevated the significance of renewable energy sources. Photovoltaic (PV) systems are pivotal in converting solar ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

1 Henan Polytechnic, Zhengzhou, China 2 School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China This study mainly includes five sections. The first section primarily ...

MATLAB Programming is a high-level language and interactive environment used by millions of engineers and scientists worldwide. It enables numerical computation, visualization, and programming in a ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...

Abstract: This study assists in selecting the appropriate solar photovoltaic (SPV) array configuration and metaheuristic maximum power point tracking (MPPT) technique to minimise power loss in rooftop ...

A team of scientists led by researchers from Pakistan’s Abdul Latif University has developed a maximum power point tracking (MPPT) algorithm that uses a grey wolf optimizer (GWO) under realistic ...