The escalating growth in the traditional air-conditioning industry has led to an increased demand for energy. However, this industry has the drawbacks of high energy consumption …
Solar stills provide a promising avenue for freshwater production in regions grappling with water scarcity, especially remote locales. However, their efficiency is often constrained by …
This research investigates the application of machine learning models to optimise renewable energy systems and contribute to achieving Net Zero emissions targets. The …
C Zhu, M Wang, M Guo, J Deng, Q Du, W Wei… - Computers and …, 2024 - Elsevier
This study focuses on an innovative hybrid machine-learning model for solar irradiance forecasting, targeting the integration of solar power into hydrogen production systems …
The objective of this research is to examine the problems of the shading effect of photovoltaic (PV) systems. This research describes the PV system installed on the rooftop of …
The inherent variability in solar Photovoltaic (PV) systems motivates developing dynamic and adaptive data-driven models capable of accurately predicting the systems' performance …
A Thakfan, Y Bin Salamah - Energies, 2024 - mdpi.com
The global shift towards sustainable energy has positioned photovoltaic (PV) systems as a critical component in the renewable energy landscape. However, maintaining the efficiency …
It is widely recognized that the sustainability of the built environment is one of the key strategies to tackle global crises such as climate change, resource depletion, and human …
W Mengmeng, JIA Zhuoying, TAO Lulu… - Journal of Building …, 2024 - Elsevier
Dynamic façade (DF) technology is key to mitigating global climate change, benefiting significantly from machine learning (ML) advancements in interdisciplinary research …