Potential of explainable artificial intelligence in advancing renewable energy: challenges and prospects

VN Nguyen, W Tarełko, P Sharma, AS El-Shafay… - Energy & …, 2024‏ - ACS Publications
Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

Solar irradiation prediction using empirical and artificial intelligence methods: A comparative review

F Nawab, AS Abd Hamid, A Ibrahim, K Sopian… - Heliyon, 2023‏ - cell.com
Solar irradiation data is essential for the feasibility of solar energy projects. Notably, the
intermittent nature of solar irradiation influences solar energy use in all forms, whether …

[HTML][HTML] A century-long analysis of global warming and earth temperature using a random walk with drift approach

L Wang, L Wang, Y Li, J Wang - Decision Analytics Journal, 2023‏ - Elsevier
Climate change poses the most significant threat to humanity today. This study examines the
global warming trend by analyzing temperature changes over the past century, uncovering …

Prediction, modelling, and forecasting of PM and AQI using hybrid machine learning

MT Udristioiu, YEL Mghouchi, H Yildizhan - Journal of Cleaner Production, 2023‏ - Elsevier
This paper proposes a combination of hybrid models like Input Variable Selection (IVS),
Machine Learning (ML), and regression method to predict, model, and forecast the daily …

Metaheuristic algorithms for solar radiation prediction: A systematic analysis

SA Pérez-Rodríguez, JM Álvarez-Alvarado… - IEEE …, 2024‏ - ieeexplore.ieee.org
In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …