Research graph
References from Machine learning from renewables to green hydrogen production optimization: A PM-CFL-OPT framework addressing uncertainty, safety constraints, and interpretability. Local targets link to admitted publications; unresolved targets remain external evidence.
A comprehensive review of empirical models for estimating global solar radiation in Africa
10.1016/j.rser.2017.04.101 · 2017 · External reference
Benefits of an integrated power and hydrogen offshore grid in a net-zero North Sea energy system
10.1016/j.adapen.2022.100097 · 2022 · External reference
A qualitative review of empirical models for estimating diffuse solar radiation from experimental data in Africa
10.1016/j.rser.2018.04.118 · 2018 · External reference
A multi-model approach based on CARIMA-SARIMA-GPM for assessing the impacts of climate change on concentrated photovoltaic (CPV) potential
10.1016/j.pce.2024.103560 · 2024 · External reference
Advances in Chlorella microalgae for sustainable wastewater treatment and bioproduction
10.1016/j.ceja.2025.100715 · 2025 · External reference
Prospects and challenges of energy storage materials: a comprehensive review
10.1016/j.ceja.2024.100657 · 2024 · External reference
Exploration of material recovery framework from waste – A revolutionary move towards clean environment
10.1016/j.ceja.2024.100589 · 2024 · External reference
Catalytic pathways towards sustainable aviation fuel production from waste biomass: a systematic review
10.1016/j.ceja.2025.100927 · 2025 · External reference
Techno-economic evaluation of green hydrogen production with low-temperature water electrolysis technologies directly coupled with renewable power sources
10.1016/j.enconman.2023.117083 · 2023 · External reference
Advances in nanomaterials for efficient petrochemical wastewater treatment: synergistic removal of organic and inorganic pollutants
10.1016/j.ceja.2026.101144 · 2026 · External reference
Ammonia recovery from wastewater: a critical review of technologies with emphasis on capacitive deionization
10.1016/j.ceja.2025.100901 · 2025 · External reference
Fabrication of porous electrodes for green hydrogen evolution: a review of additive manufacturing, laser texturing, dynamic hydrogen bubble templating, powder metallurgy, lithography, and nano-ink printing
10.1016/j.ceja.2026.101112 · 2026 · External reference
Torrefied biomass quality prediction and optimization using machine learning algorithms
10.1016/j.ceja.2024.100620 · 2024 · External reference
Green frothers and modern characterization tools: toward sustainable flotation performance
10.1016/j.ceja.2025.100860 · 2025 · External reference
Industrial hydrogen hub planning and operation with multi-scale optimisation
10.1016/j.jclepro.2023.138750 · 2023 · External reference
A review of printing methods, materials, and artificial intelligence applications in sodium-ion battery manufacturing and management systems
10.1016/j.ceja.2025.100787 · 2025 · External reference
A noise resilient multi-step ahead deep learning forecasting technique for solar energy centered generation of green hydrogen
10.1016/j.ijhydene.2024.09.389 · 2024 · External reference
Advances, challenges, and future directions in biomass gasification: a critical review of feedstock, reactor designs, and process optimization
10.1016/j.ceja.2026.101107 · 2026 · External reference
Model-based determination of optimal operating parameters for different solid waste gasification
10.1016/j.ceja.2024.100586 · 2024 · External reference
Graphene-based conductometric monitoring of hydrogen purity (Proof of Concept)
10.1016/j.ceja.2025.100871 · 2025 · External reference
Artificial intelligence applications in hydrogen system: advancing renewable energy utilization for global hydrogen economy and sustainability goals
10.1016/j.ijhydene.2025.03.350 · 2025 · External reference
Precise solar radiation forecasting for sustainable energy integration: a hybrid CEEMD-SCM-GA-LGBM model for day-ahead power and hydrogen production
10.1016/j.renene.2024.121732 · 2024 · External reference
Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry
10.1016/j.egyr.2024.08.028 · 2024 · External reference
Machine learning-powered nanoengineering of flexible, durable and scalable photoelectrode for efficient H2 production
10.1016/j.ijhydene.2025.152214 · 2025 · External reference
Rapid prediction, optimization and design of solar membrane reactor by data-driven surrogate model
10.1016/j.energy.2023.129432 · 2023 · External reference
Optimal control of SOEC-based hydrogen production systems for demand response using deep reinforcement learning in smart grids
10.1109/tec.2024.3471431 · 2025 · External reference
Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green hydrogen production under uncertainty
10.1016/j.rser.2023.114049 · 2024 · External reference
Design of a cost-effective wind/photovoltaic/hydrogen energy system for supplying a desalination unit by a heuristic approach
10.1016/j.solener.2016.09.028 · 2016 · External reference
Stable and active CuxO/TiO2 nanostructured catalyst for proficient hydrogen production under solar light irradiation
10.1016/j.solmat.2015.11.030 · 2016 · External reference
Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms
10.1016/j.enconman.2019.02.017 · 2019 · External reference
Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and neural networks
10.1016/j.rser.2024.114616 · 2024 · External reference
Guiding the optimization of membrane electrode assembly in a Proton exchange membrane water electrolyzer by machine learning modeling and black-box interpretation
10.1021/acssuschemeng.1c08522 · 2022 · External reference
Predicting future polarization curves from operating data: machine learning-based investigation of degradation modeling concepts for PEM water electrolysis
10.1016/j.egyai.2025.100547 · 2025 · External reference
Machine learning-accelerated method for real-time optimization of micro energy-water-hydrogen nexus
10.1109/tste.2024.3496912 · 2025 · External reference
Kinetics modeling of suspended photocatalytic water splitting for hydrogen production using deep learning
10.1016/j.ijhydene.2025.02.301 · 2025 · External reference
Deep learning optimization and techno-environmental analysis of a solar-driven multigeneration system for producing sustainable hydrogen and electricity: a case study of San Francisco
10.1016/j.ijhydene.2022.09.301 · 2023 · External reference
Hybrid deep learning architecture for temperature gradient control of a solid oxide electrolysis cell under fluctuating wind power
10.1016/j.egyai.2025.100592 · 2025 · External reference
Green ammonia production using biogas-solar-wind hybrid systems: optimization and deep learning methods for techno-economic evaluation
10.1016/j.energy.2025.139174 · 2025 · External reference
An innovative adaptive hybrid prediction model based on deep learning methods (CEEMDAN-GRU) for green hydrogen production, In case study: Turkey
10.1016/j.ijhydene.2023.11.026 · 2024 · External reference
Deep learning performance prediction for solar-thermal-driven hydrogen production membrane reactor via bayesian optimized LSTM
10.1016/j.ijhydene.2024.08.073 · 2024 · External reference
District-level solar forecasting and green hydrogen cost mapping in Türkiye using XGBoost machine learning method
10.1016/j.ijhydene.2025.150993 · 2025 · External reference
An improved decision tree-based method for evaluating transient overvoltage caused by commutation failure in LCC-HVDC systems
10.1049/gtd2.12980 · 2023 · External reference
Performance analysis of support vector machine, Gaussian Process regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm
10.1016/j.ijhydene.2022.05.066 · 2022 · External reference
New hybrid photovoltaic-fuel cell system for green hydrogen and power production: performance optimization assisted with gaussian process regression method
10.1016/j.ijhydene.2024.02.087 · 2024 · External reference
Design optimization and ML-based performance prediction of microgrid-hydrogen refueling systems using gaussian process regression
10.1016/j.ijhydene.2025.150382 · 2025 · External reference
Hybridization of statistical machine learning and numerical models for improving beam, diffuse and global solar radiation prediction
2022 · External reference
Machine learning and physics-based model hybridization to assess the impact of climate change on single- and dual-axis tracking solar-concentrated photovoltaic systems
10.1016/j.pce.2025.103881 · 2025 · External reference
Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models
2022 · External reference
Impacts of climate change and meteo-solar parameters on photosynthetically active radiation prediction using hybrid machine learning with physics-based models
10.1016/j.asr.2022.08.010 · 2022 · External reference
Evaluation of energy extraction of PV systems affected by environmental factors under real outdoor conditions
10.1007/s00704-022-04166-6 · 2022 · External reference
Applying ensemble machine learning models to predict hydrogen production rates from conventional and novel solar PV/T water collectors
10.1016/j.ijhydene.2025.01.108 · 2025 · External reference
Enhancing hydrogen energy consumption prediction based on stacked machine learning model with Shapley additive explanations
10.1007/s41660-025-00539-2 · 2025 · External reference
Green hydrogen production ensemble forecasting based on hybrid dynamic optimization algorithm
10.3389/fenrg.2023.1221006 · 2023 · External reference
A novel ensemble machine learning approach for optimizing sustainability and green hydrogen production in hybrid renewable-based organic Rankine cycle-operated proton exchange membrane electrolyser system
10.1016/j.renene.2025.122369 · 2025 · External reference
Advancing clean combustible syngas production: an interpretable machine learning framework for biomass and plastic co-gasification
10.1007/s42768-025-00256-z · 2025 · External reference
A physics-informed deep learning framework for enhanced hydrogen production via electrified steam methane reforming
10.1016/j.ijhydene.2025.152376 · 2025 · External reference
Generation and analysis of wind-photovoltaic power output scenarios for off-grid electrolysis systems
10.1016/j.ijhydene.2025.152509 · 2025 · External reference
Techno-economic optimization of renewable hydrogen infrastructure via AI-based dynamic pricing
10.1038/s41598-025-17506-z · 2025 · External reference
A hybrid CARIMA-SARIMA-logistic model for multi-scenario hydrogen demand forecasting: insights from global economies
2026 · External reference
Reinforcement learning-driven stochastic optimization and blockchain-enabled demand response to determine the techno-economic feasibility of hydrogen fueling stations in Australia
2026 · External reference
Hybridized forecasting and climate change impact analysis of six solar PV technologies under CMIP6-SSP scenarios
2026 · External reference
Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning
10.1016/j.energy.2023.128623 · 2023 · External reference
Model predictive control to promote PV intake in a multi-energy based power grid
10.1049/rpg2.70069 · 2025 · External reference
Hazardous waste risk detection powered by artificial intelligence and machine learning for resilient monitoring and mitigation of potential environmental threats
10.1016/j.rineng.2026.109655 · 2026 · External reference
Improved control-oriented polarization characteristic modeling for proton exchange membrane water electrolyzer with adaptive hunting game based metaheuristic optimization
10.1016/j.enconman.2024.118264 · 2024 · External reference
Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems
10.1186/s42162-025-00567-9 · 2025 · External reference
Machine learning and analytical model hybridization to assess the impact of climate change on solar PV energy production
10.1016/j.pce.2023.103389 · 2023 · External reference
Dispatch model of park-level integrated energy system with photovoltaic/thermal hydrogen generation equipment: a scenario analysis method based on improved K-means clustering
10.1016/j.ijhydene.2024.11.318 · 2025 · External reference
A metaheuristic particle swarm optimization for enhancing energetic and exergetic performances of hydrogen energy production from plastic waste gasification
10.1016/j.enconman.2024.118392 · 2024 · External reference
Fire risk assessment of distributed photovoltaic systems for hydrogen energy production: a multidimensional cloud model approach based on particle swarm and Bayesian optimization
10.1016/j.ijhydene.2025.151904 · 2025 · External reference
Design and analysis of wind-based hydrogen production using rule-based operation
10.1016/j.rser.2025.115459 · 2025 · External reference
Genetic fuzzy rule extraction for optimised sizing and control of hybrid renewable energy hydrogen systems
10.1016/j.ijhydene.2020.10.238 · 2021 · External reference
A rule-based energy management strategy for a low-temperature solar/wind-driven heating system optimized by the machine learning-assisted grey wolf approach
10.1016/j.enconman.2022.116590 · 2023 · External reference
Artificial intelligence-driven optimization of biohydrogen production: ANN-GA, RSM, and python synergy for novel Alcaligenes ammonioxydans utilizing sugarcane bagasse
10.1016/j.fuel.2025.135647 · 2025 · External reference
Deep neural network optimization of a continuous solar-geothermal-driven plant with integrated thermal and mechanical energy storage: incorporating bypass mechanism
10.1016/j.energy.2024.131885 · 2024 · External reference
Dynamic optimization of a solar–sCO2–CAES hybrid energy system: integration of green hydrogen production and AI-based energy management
10.1016/j.ijhydene.2025.06.078 · 2025 · External reference
Optimizing solar-electrolysis for green hydrogen production: a novel spatiotemporal attention framework (STAF) for solar-electrolysis prediction and economic viability analysis
10.1016/j.ijhydene.2025.03.385 · 2025 · External reference
Distributionally robust model for cooperative scheduling of multi-park integrated energy system featuring mobile hydrogen storage
10.1016/j.est.2025.118655 · 2025 · External reference
Machine learning-enhanced uncertainty quantification for renewable-powered hybrid green ammonia and refrigeration systems: technoeconomic and environmental effects
10.1016/j.jclepro.2025.146702 · 2025 · External reference
Overvoltage risk regulation strategy with distributed energy application in a distribution network based on the Stackelberg game
10.3389/fenrg.2024.1367287 · 2024 · External reference
Techno-economic feasibility analysis and data-driven optimization of a novel hybrid renewable energy system for efficient multigeneration and hydrogen liquefaction: a case study
10.1016/j.applthermaleng.2025.128148 · 2025 · External reference
Optimizing wind and green hydrogen production through balanced prioritization in site-specific scenarios
10.1016/j.ijhydene.2025.02.314 · 2025 · External reference
Dynamic electrical-thermal-mass response characteristics of Alkaline water electrolysis system
10.1061/jleed9.eyeng-5992 · 2025 · External reference
Deep learning solar forecasting for green hydrogen production in India: a case study
10.1016/j.ijhydene.2023.08.323 · 2024 · External reference
Incorporating advanced machine learning algorithms into solar power forecasting in off-grid hybrid renewable systems
10.1016/j.epsr.2025.111979 · 2025 · External reference
Development and process simulation of a biomass driven SOFC-based electricity and ammonia production plant using green hydrogen; AI-based machine learning-assisted tri-objective optimization
10.1016/j.ijhydene.2025.04.497 · 2025 · External reference
Optimized hydrogen production through machine learning: comparative analysis of electrolyzer technologies using hybrid renewable energy
10.1016/j.applthermaleng.2025.126923 · 2025 · External reference
Machine learning-driven optimization of a multigeneration solar power plant: a 4E framework for hydrogen and energy generations
10.1016/j.ijhydene.2025.06.073 · 2025 · External reference
Optimizing unit capacities for a wind-hydrogen power system of clustered wind farms
10.1002/etep.2707 · 2019 · External reference
Enhancing wind-solar hybrid hydrogen production through multi-state electrolyzer management and complementary energy optimization
10.1016/j.egyr.2024.01.031 · 2024 · External reference
Machine learning-assisted multiphysics coupling performance optimization in a photocatalytic hydrogen production system
10.1016/j.enconman.2020.112935 · 2020 · External reference
Coordination environment of Ru clusters with in-situ generated metastable symmetry-breaking centers for seawater electrolysis
10.1016/j.nanoen.2022.107656 · 2022 · External reference
Transient thermomechanical response of an electrolyte supported planar solid oxide electrolysis cell under dynamic loading conditions
10.1016/j.egyai.2025.100590 · 2025 · External reference
Artificial intelligence driven hydrogen and battery technologies – A review
10.1016/j.fuel.2022.126862 · 2023 · External reference
Data-informed hybrid renewable system design based on building energy demand prediction: a machine learning and deep learning approach
10.1016/j.est.2025.117742 · 2025 · External reference
The design of hydrogen saline aquifer storage processes using a machine-learning assisted multiobjective optimization protocol
10.2118/218405-pa · 2024 · External reference
Stochastic planning of an off-grid green hydrogen plant with accurate electrolyzer efficiency modeling
10.1016/j.ijhydene.2025.152265 · 2025 · External reference
Anchoring platinum clusters on lamellar MXene for efficient acidic hydrogen evolution reaction
10.1016/j.ijhydene.2025.03.442 · 2025 · External reference
The hybrid Pt nanoclusters/Ru nanowires catalysts accelerating alkaline hydrogen evolution reaction
2024 · External reference
Enhancing flexibility in wind-powered hydrogen production systems through coordinated electrolyzer operation
10.1016/j.adapen.2025.100228 · 2025 · External reference
Optimization of a solar-based PEM methanol/water electrolyzer using machine learning and animal-inspired algorithms
10.1016/j.enconman.2023.116876 · 2023 · External reference
Synergistic bimetallic phosphide and graphene oxide in self-supported rose-like nickel iron phosphide electrocatalysts for efficient hydrogen evolution reaction via alkaline simulated seawater
10.1016/j.ijhydene.2025.152216 · 2025 · External reference
A new solar, natural gas, and biomass-driven polygeneration cycle to produce electrical power and hydrogen fuel; thermoeconomic and prediction approaches
10.1016/j.fuel.2022.126825 · 2023 · External reference
Numerical assessment and optimization of photovoltaic-based hydrogen-oxygen Co-production energy system: a machine learning and multi-objective strategy
10.1016/j.renene.2024.120483 · 2024 · External reference
Experimental investigation and optimization of integrated photovoltaic and photoelectrochemical hydrogen generation
10.1016/j.enconman.2020.112541 · 2020 · External reference
Optimizing green urea production: integration of process simulation, artificial intelligence, and sustainable technologies
10.1016/j.jclepro.2025.145371 · 2025 · External reference
Light-driven hydrogen generation from methanol vapor using halide perovskite nanocrystals
10.1021/acsenergylett.5c01047 · 2025 · External reference
Forecasting green hydrogen production: an assessment of renewable energy systems using deep learning and statistical methods
10.1016/j.fuel.2024.133496 · 2025 · External reference
Techno-economic analysis and life cycle assessment of green hydrogen production: a case study of Sur Industrial City in Oman
10.1016/j.scs.2025.106405 · 2025 · External reference
Machine learning assisted prediction for hydrogen production of advanced photovoltaic technologies
10.1016/j.decarb.2024.100050 · 2024 · External reference
Optimization of solid oxide electrolysis cells using concentrated solar-thermal energy storage: a hybrid deep learning approach
10.1016/j.apenergy.2024.124610 · 2025 · External reference
Regression model for stabilization energies associated with anion ordering in perovskite-type oxynitrides
10.1016/j.jechem.2019.01.012 · 2019 · External reference
Dynamic-based artificial intelligence model for simulation and optimization of the single chamber anode brush microbial electrolysis cell
10.1016/j.fuel.2024.132629 · 2024 · External reference
Performance prediction of wind energy-driven green hydrogen production: a case study based on optimized machine learning models for abandoned mine sites
10.1016/j.ijhydene.2025.151646 · 2025 · External reference
Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: a case study
10.1016/j.applthermaleng.2025.125834 · 2025 · External reference
Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management
10.1016/j.apenergy.2024.123770 · 2024 · External reference
Optimizing energy supply superstructure for plastic waste gasification systems: minimizing life cycle environmental impacts with AI models
10.1016/j.enconman.2025.120416 · 2025 · External reference
Optimisation of pin-fin heat sink design for CPV systems using machine learning-driven multi-objective approaches
10.1016/j.enconman.2025.119973 · 2025 · External reference
Toward efficient photocatalytic pure water splitting for simultaneous H2 and H2O2 production
10.1016/j.nanoen.2019.05.086 · 2019 · External reference
Leveraging machine learning for life cycle assessment and techno-economic analysis of power generation from microwave co-pyrolysis of kitchen waste and rice straw
10.1016/j.applthermaleng.2025.128414 · 2025 · External reference
Green hydrogen and chemical production from solar energy in Pakistan: a geospatial, techno-economic, and environmental assessment
10.1016/j.ijhydene.2025.03.067 · 2025 · External reference
Enhancing energy efficiency and reducing emissions in a novel biomass-geothermal hybrid system for hydrogen/ammonia production using machine learning and multi-level heat recovery
10.1016/j.ijhydene.2024.10.343 · 2024 · External reference
Optimization-based comparative study of machine learning methods for the prediction of hydrogen production from biogas
10.1155/er/8940534 · 2025 · External reference
Clustered VCoCOx nanosheets anchored on MXene–Ti3C2@NF as a superior bifunctional electrocatalyst for alkaline water splitting
10.1002/sstr.202400278 · 2024 · External reference
Design optimization and optimal power management of standalone solar-hydrogen system using a new metaheuristic algorithm
10.1016/j.est.2022.105521 · 2022 · External reference
Planning and operation of a hydrogen supply chain network based on the off-grid wind-hydrogen coupling system
10.1016/j.ijhydene.2020.05.207 · 2020 · External reference
Strategies for flexible operation of power-to-X processes coupled with renewables
10.1016/j.rser.2023.113282 · 2023 · External reference
Techno-economic-environmental study and artificial intelligence-assisted optimization of a multigeneration power plant based on a gas turbine cycle along with a hydrogen liquefaction unit
10.1016/j.applthermaleng.2023.121660 · 2024 · External reference
Performance prediction of experimental PEM electrolyzer using machine learning algorithms
10.1016/j.fuel.2024.132853 · 2024 · External reference
Economic viability assessment of sustainable hydrogen production, storage, and utilisation technologies integrated into on- and off-grid micro-grids: a performance comparison of different meta-heuristics
10.1016/j.ijhydene.2019.11.079 · 2020 · External reference
Innovative wind-powered system for liquid fuel production: integrating carbon capture and hydrogen storage
10.1021/acs.energyfuels.5c01825 · 2025 · External reference
Optimal control strategy based on artificial intelligence applied to a continuous dark fermentation reactor for energy recovery from organic wastes
10.1016/j.gerr.2024.100112 · 2025 · External reference
Deep learning-based optimization of a hydrogen and oxygen production system for patients in hospital with alkaline electrolyzer
10.1016/j.fuel.2022.126441 · 2023 · External reference
Moment-independent sensitivity analysis for type IV hydrogen cylinder by combining polynomial chaos expansion and gaussian kernel
10.1016/j.ijhydene.2025.150767 · 2025 · External reference
Energy-carbon-certificate synergy mechanism: application in region integrated energy systems driven by hybrid natural-gas-hydrogen
10.1016/j.ijhydene.2025.150541 · 2025 · External reference
Maximizing microgrid resilience: a two-stage AI-enhanced system with an integrated backup system using a novel hybrid optimization algorithm
10.1016/j.jclepro.2024.141281 · 2024 · External reference
Design and optimization of hydrogen refueling station powered by hybrid energy system
10.1063/5.0254557 · 2025 · External reference
Tuning the interfacial electronic structure: via Au clusters for boosting photocatalytic H2 evolution
10.1039/d0ta09217g · 2021 · External reference
Hierarchical cobalt oxide-functionalized silicon carbide nanowire array for efficient and robust oxygen evolution electro-catalysis
10.1016/j.mtener.2017.12.002 · 2018 · External reference
An innovative biomass-driven multi-generation system equipped with PEM fuel cells/VCl cycle: throughout assessment and optimal design via particle swarm algorithm
10.1016/j.ijhydene.2023.03.356 · 2024 · External reference
An innovative optimal integrated solar-lignocellulosic biomass polygeneration system with biorefinery and solid oxide electrolyzer cell
10.1016/j.enconman.2025.119557 · 2025 · External reference
Techno-economic risk-constrained optimization for sustainable green hydrogen energy storage in solar/wind-powered reverse osmosis systems
10.1016/j.est.2024.111849 · 2024 · External reference
Data-driven fault detection framework for offshore wind-hydrogen systems
10.1016/j.ijhydene.2024.05.029 · 2024 · External reference
Research on the optimal planning method of hydrogen-storage units in wind–hydrogen energy system considering hydrogen energy source
10.1016/j.egyr.2023.05.116 · 2023 · External reference
Biogas reforming integrated with PEM electrolysis via oxygen storage process for green hydrogen production: from design to robust optimization
10.1016/j.enconman.2021.115021 · 2022 · External reference
Exergoeconomic and optimization study of a solar and wind-driven plant employing machine learning approaches; a case study of Las Vegas city
10.1016/j.jclepro.2022.135529 · 2023 · External reference
Dual functional CuO1-x clusters for enhanced photocatalytic activity and stability of a Pt cocatalyst in an overall water-splitting reaction
10.1021/acssuschemeng.8b04889 · 2018 · External reference
Refined modeling and approximated aggregation method for alkaline water electrolyzers in power system optimal scheduling
10.1016/j.ijhydene.2023.11.204 · 2024 · External reference
Multi-objective optimization of a hybrid energy system integrated with solar-wind-PEMFC and energy storage
10.1016/j.est.2023.108562 · 2023 · External reference
Combining machine learning and multi-objective optimization algorithms to optimize key parameters for underground hydrogen storage
10.1016/j.jgsce.2025.205713 · 2025 · External reference
Model forecasting of hydrogen yield and lower heating value in waste Mahua wood gasification with machine learning
10.1155/2024/1635337 · 2024 · External reference
Marangoni and interfacial mechanisms in dihydrogen oxide–based nanofluid flow over a stretched surface: comparative machine-learning approaches
10.1016/j.ijhydene.2025.152528 · 2025 · External reference
Multi-objective optimizations of solid oxide co-electrolysis with intermittent renewable power supply via multi-physics simulation and deep learning strategy
10.1016/j.enconman.2022.115560 · 2022 · External reference
Potential applications of innovative AI-based tools in hydrogen energy development: leveraging large language model technologies
10.1016/j.ijhydene.2025.01.066 · 2025 · External reference
An insight into the application and progress of artificial intelligence in the hydrogen production industry: a review
2025 · External reference
Optical and thermal analysis of solar parabolic dish cavity receiver system for hydrogen production using deep learning
10.1016/j.enconman.2023.117415 · 2023 · External reference
Is one year enough? The impact of availability of wind data on optimal wind-to-hydrogen system design
10.1016/j.ijhydene.2025.03.416 · 2025 · External reference
Routing and scheduling of smart mobile power banks for mobile charging and vehicle-to-grid services
10.1109/tte.2025.3535500 · 2025 · External reference
Artificial intelligence-based multi-objective optimization of a solar-driven system for hydrogen production with integrated oxygen and power Co-generation across different climates
10.1016/j.ijhydene.2025.151880 · 2025 · External reference
Experimental and machine learning-based optimization of dual-fuel engine performance using biodiesel and hydrogen-producer gas mixtures
10.1016/j.ijhydene.2025.150199 · 2025 · External reference
Techno-economic analysis for design and management of international green hydrogen supply chain under uncertainty: an integrated temporal planning approach
10.1016/j.enconman.2023.118010 · 2024 · External reference
Optimization of alkaline electrolyzer operation in renewable energy power systems: a universal modeling approach for enhanced hydrogen production efficiency and cost-effectiveness
10.1016/j.ijhydene.2023.10.057 · 2024 · External reference
Machine learning-aided optimal energy management of a solar-to-X energy system based on hydrogen production/storage and CAES
10.1016/j.ijhydene.2025.05.418 · 2025 · External reference
A new random vector functional link integrated with mayfly optimization algorithm for performance prediction of solar photovoltaic thermal collector combined with electrolytic hydrogen production system
10.1016/j.applthermaleng.2021.117055 · 2021 · External reference
Sustainable cogeneration systems: utilizing machine learning to enhance the performance of flame-assisted solid oxide fuel cells and methanation systems
10.1016/j.ijhydene.2025.152229 · 2025 · External reference
Forecasting hydrogen production potential in islamabad from solar energy using water electrolysis
10.1016/j.ijhydene.2020.10.059 · 2021 · External reference
Optimization of biomass-fueled multigeneration system using SOFC for electricity, hydrogen, and freshwater production
10.1016/j.ijhydene.2024.09.161 · 2024 · External reference
Techno-economic and environmental optimization of hydrogen-based hybrid energy systems for remote off-grid australian communities
2025 · External reference
Biomass and waste plastics chemical looping co-gasification for hydrogen-electricity-DME conservation and recycling based on machine learning
10.1016/j.energy.2025.134868 · 2025 · External reference
Collaborative planning of multi-energy systems integrating complete hydrogen energy chain
10.1016/j.rser.2024.115147 · 2025 · External reference
Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: optimization based on deep learning techniques and environmental appraisal
10.1016/j.ijhydene.2022.10.181 · 2024 · External reference
In-situ photo-deposition CuO1−x cluster on TiO2 for enhanced photocatalytic H2-production activity
10.1016/j.ijhydene.2017.06.094 · 2017 · External reference
Hierarchical overvoltage predictive control scheme for a DFIG-based wind farm
10.1016/j.epsr.2023.109172 · 2023 · External reference
Elucidating the reaction pathway of crystalline multi-metal borides for highly efficient oxygen-evolving electrocatalysts
10.1039/d1ta09078j · 2022 · External reference
Deep-learning model with flow-leveraged polarization function and set-value cross-attention mechanism for accurate dynamic thermoelectric of alkaline water electrolyzer
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Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea
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Photoreforming lignocellulose to hydrogen over noble-metal-free Ni(OH)2/Cd0.5Zn0.5S nanotwins
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Electronic structure regulation of cobalt oxide clusters for promoting photocatalytic hydrogen evolution
10.1039/d1ta08279e · 2022 · External reference
Machine learning based state-of-charge prediction of electrochemical green hydrogen production: zink-Zwischenschritt-Elektrolyseur (ZZE)
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A cold/hot start-integrated control strategy in multi-electrolyzer systems for enhancing electrolyzer balance and lifespan
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Enabling thermal-neutral electrolysis for CO2-to-fuel conversions with a hybrid deep learning strategy
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Machine learning models for solar forecasting and impact on green hydrogen production costs
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Development of machine learning-based models for describing processes in a continuous solar-driven biomass gasifier
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Modelling and multi-objective optimisation of sustainable solar-biomass-based hydrogen and electricity co-supply hub using metaheuristic-TOPSIS approach
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A GA-based NZEB-cluster planning and design optimization method for mitigating grid overvoltage risk
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Machine learning two-step algorithm for prediction of proton exchange membrane water electrolyzer cell performance under variable power inputs
10.1016/j.enconman.2025.120229 · 2025 · External reference
Enhanced electrocatalytic hydrogen evolution in alkaline saline electrolyte by NiCo foam supported iridium nanoclusters
10.1039/d3ta05421g · 2023 · External reference
Deep learning prediction of photocatalytic water splitting for hydrogen production under natural light based on experiments
10.1016/j.enconman.2023.118007 · 2024 · External reference
Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling technique
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Machine learning-assisted catalyst synthesis and hydrogen production via catalytic hydrolysis of sodium borohydride
10.1016/j.ijhydene.2025.04.286 · 2025 · External reference
Epitaxially grown Ru clusters–Nickel nitride heterostructure advances water electrolysis kinetics in alkaline and seawater media
10.1002/eem2.12318 · 2023 · External reference
Coordinated dispatch of alkaline and PEM electrolyzers: a stochastic optimization approach under renewable energy uncertainty
10.1016/j.ijhydene.2025.152237 · 2025 · External reference
Machine learning algorithms for operating parameters predictions in proton exchange membrane water electrolyzers: anode side catalyst
10.1016/j.ijhydene.2023.12.149 · 2024 · External reference
Machine learning-based metaheuristic optimization of an integrated biomass gasification cycle for fuel and cooling production
10.1016/j.fuel.2022.125969 · 2023 · External reference
Techno-economic appraisal and machine learning-based gray wolf optimization of enhanced fuel cell integrated with stirling engine and vanadium-chlorine cycle
10.1016/j.ijhydene.2023.03.187 · 2024 · External reference
High-resolution AI-based forecasting and techno-economic assessment of green hydrogen production from a hybrid PV/wind system at the regional scale
10.1016/j.ijhydene.2025.152098 · 2025 · External reference
Enhancing hydrogen production using solar-driven photocatalysis with biosynthesized nanocomposites: a hybrid machine learning approach towards enhanced performance and sustainable environment
10.1016/j.ijhydene.2025.01.037 · 2025 · External reference
Solar PV systems under weather extremes: case studies, classification, vulnerability assessment, and adaptation pathways
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Technical and economic feasibility assessment for hybrid energy system electricity and hydrogen generation: a case study
10.1016/j.gloei.2025.01.001 · 2025 · External reference
Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles
10.1038/s41598-025-97088-y · 2025 · External reference
10.1201/9781003483175
10.1201/9781003483175 · External reference
10.1016/b978-0-443-31486-5.00011-2
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