A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
M SaberiKamarposhti, H Kamyab, S Krishnan… - International Journal of …, 2024 - Elsevier
The convergence of hydrogen energy with artificial intelligence (AI) in smart infrastructure
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …
Solar-driven green hydrogen generation for revolutionizing the future of zero-carbon energy
N Kalaiselvan, T Mathimani - Fuel, 2024 - Elsevier
Exploring alternative fuels is growing upwards due to the impact of fossil fuels on human
health and the sustainability of the environment. Intensive research works are being …
health and the sustainability of the environment. Intensive research works are being …
The integration of wind and solar power to water electrolyzer for green hydrogen production
T Ikuerowo, SO Bade, A Akinmoladun… - International Journal of …, 2024 - Elsevier
Green H 2 (GH) has emerged as a highly promising medium for the transportation of eco-
friendly energy. The utilization of H 2 as the primary operational medium in H 2-based …
friendly energy. The utilization of H 2 as the primary operational medium in H 2-based …
Assessment of green hydrogen production by volatile renewable energy under different SSPs scenarios in China
B Liu, M Lai, Y Wang, Y Wang, J Chen, C Song - Renewable Energy, 2024 - Elsevier
In the context of increasing global concerns about climate change and sustainable energy,
the production of green hydrogen (GH) from volatile renewable energy (VRE) sources, such …
the production of green hydrogen (GH) from volatile renewable energy (VRE) sources, such …
Deep learning performance prediction for solar-thermal-driven hydrogen production membrane reactor via bayesian optimized LSTM
XY Tang, WW Yang, Z Liu, JC Li, X Ma - International Journal of Hydrogen …, 2024 - Elsevier
The random fluctuation of solar energy poses significant challenges for direct solar
utilization systems. Solar-driven membrane reactors (SMMR) are efficient devices for energy …
utilization systems. Solar-driven membrane reactors (SMMR) are efficient devices for energy …
A noise resilient multi-step ahead deep learning forecasting technique for solar energy centered generation of green hydrogen
K Sareen, BK Panigrahi, T Shikhola, R Sharma… - International Journal of …, 2024 - Elsevier
Generation of green hydrogen based on solar energy is significantly dependent upon
photovoltaic (PV) panel energy, which is reliant on the stochastic and intermittent global …
photovoltaic (PV) panel energy, which is reliant on the stochastic and intermittent global …
Integrative CFD and AI/ML-based modeling for enhanced alkaline water electrolysis cell performance for hydrogen production
A comprehensive model based on CFD modelling as well as AI/ML based modelling for an
alkaline water electrolysis (AWE) cell is presented. A single cell 2D multiphase CFD model …
alkaline water electrolysis (AWE) cell is presented. A single cell 2D multiphase CFD model …
Analytical solution versus the Monte Carlo simulation for studying the H+ beam neutralization in H2 gas target neutralizer
A Masoumzadeh, M Habibi, HR Mirzaei - International Journal of Hydrogen …, 2024 - Elsevier
A comparative Study on the conversion of an energetic H+ beam inside a cell neutralizer
filled with hydrogen gas target is conducted by two different methods to determine the …
filled with hydrogen gas target is conducted by two different methods to determine the …
[HTML][HTML] Solar energy prediction with synergistic adversarial energy forecasting system (Solar-SAFS): Harnessing advanced hybrid techniques
An effective solar forecasting is an important part of managing and enhancing the
effectiveness of solar power systems. The purpose of this paper is to develop a distinct and …
effectiveness of solar power systems. The purpose of this paper is to develop a distinct and …
Ultra-short-term Single-step Photovoltaic Power Prediction based on VMD-Attention-BiLSTM Combined Model
H Yu, S Song - 2024 - researchsquare.com
Research on photovoltaic systems (PV) power prediction contributes to optimizing
configurations, responding promptly to emergencies, reducing costs, and maintaining long …
configurations, responding promptly to emergencies, reducing costs, and maintaining long …