Nanotechnology-integrated phase change material and nanofluids for solar applications as a potential approach for clean energy strategies: Progress, challenges …

Z Said, MA Sohail, AK Pandey, P Sharma… - Journal of Cleaner …, 2023 - Elsevier
Integrating nanotechnology into phase change materials (PCMs) has emerged as a novel
approach to improving PCM thermal properties and performance in various thermal energy …

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

VG Nguyen, P Sharma, Ü Ağbulut… - Biofuels, Bioproducts …, 2024 - Wiley Online Library
Biochar is emerging as a potential solution for biomass conversion to meet the ever
increasing demand for sustainable energy. Efficient management systems are needed in …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

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 …

Efficient design of energy microgrid management system: a promoted Remora optimization algorithm-based approach

H Zhang, Y Ma, K Yuan, M Khayatnezhad, N Ghadimi - Heliyon, 2024 - cell.com
Microgrids are a promising solution for decentralized energy generation and distribution,
offering reliability, efficiency, and resilience. These small-scale power systems can operate …

Optimal 4E evaluation of an innovative solar-wind cogeneration system for sustainable power and fresh water production based on integration of microbial …

MHK Manesh, S Davadgaran, SAM Rabeti… - Energy, 2024 - Elsevier
Reliable freshwater production is vital for tackling two of the most critical challenges the
world is facing today: climate change and sustainable development. Present work presents …

A graph-factor-based random forest model for assessing and predicting carbon emission patterns-Pearl River Delta urban agglomeration

Y Ding, Y Li, H Zheng, M Mei, N Liu - Journal of Cleaner Production, 2024 - Elsevier
As China actively fulfills its emissions reduction obligations to meet the Paris climate goals, it
is crucial to explore carbon reduction policies at the city level, given the important role and …

Recent advances in graphene-enabled materials for photovoltaic applications: a comprehensive review

P Jain, RS Rajput, S Kumar, A Sharma, A Jain… - ACS …, 2024 - ACS Publications
Graphene's two-dimensional structural arrangement has sparked a revolutionary
transformation in the domain of conductive transparent devices, presenting a unique …

Forecasting and advancing water carrying capacity in Henan Province in China: Application of 'four determinations with water'in AHP and SD modeling

Y Shi, S Yang, L Zhang, W Chen, Y Fan, L Lu… - Science of The Total …, 2024 - Elsevier
Water resources carrying capacity (WRCC) is indispensable for sustainable development,
acting as a crucial determinant for harmonizing ecological preservation with socio-economic …

[PDF][PDF] Using artificial neural networks for predicting ship fuel consumption

VG Nguyen, R Sakthivel, K Rudzik, J Kozak… - Polish Maritime …, 2023 - sciendo.com
In marine vessel operations, fuel costs are major operating costs which affect the overall
profitability of the maritime transport industry. The effective enhancement of using ship fuel …