On the public citation graph

Application of Machine Learning to Model Waste Energy Recovery for Green Hydrogen Production: A Techno-Economic Analysis

https://doi.org/10.2139/ssrn.4656688
0 signed · 71 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ente.202100106openalex-extracted
Thermodynamic Analysis of Dry Reforming of Methane for Valorization of Landfill Gas and Natural Gas
inferredcites →https://doi.org/10.1007/978-3-319-13290-7openalex-extracted
Data Analytics for Renewable Energy Integration
inferredcites →https://doi.org/10.1007/s11157-017-9425-2openalex-extracted
Modelling of landfill gas generation: a review
inferredcites →https://doi.org/10.1016/0926-860x(94)85199-9openalex-extracted
Methane steam reforming in asymmetric Pd- and Pd-Ag/porous SS membrane reactors
inferredcites →https://doi.org/10.1016/b978-1-78242-223-5.00002-9openalex-extracted
Membrane reactors for methane steam reforming (MSR)
inferredcites →https://doi.org/10.1016/b978-1-78242-223-5.00006-6openalex-extracted
Membrane reactors for the conversion of methanol and ethanol to hydrogen
inferredcites →https://doi.org/10.1016/j.apenergy.2011.10.011openalex-extracted
Landfill gas upgrading with pilot-scale water scrubber: Performance assessment with absorption water recycling
inferredcites →https://doi.org/10.1016/j.apenergy.2014.08.032openalex-extracted
Energetic performance of landfill and digester biogas in a domestic cooker
inferredcites →https://doi.org/10.1016/j.apenergy.2014.11.044openalex-extracted
Molten carbonate fuel cell: An experimental analysis of a 1 kW system fed by landfill gas
inferredcites →https://doi.org/10.1016/j.apenergy.2021.117110openalex-extracted
Hybrid concentrating solar-landfill gas power-generation concept for landfill energy recovery
inferredcites →https://doi.org/10.1016/j.apenergy.2022.119464openalex-extracted
Effects of methane steam reforming on the mechanical stability of solid oxide fuel cell stack
inferredcites →https://doi.org/10.1016/j.apenergy.2022.119962openalex-extracted
A machine learning-based control strategy for improved performance of HVAC systems in providing large capacity of frequency regulation service
inferredcites →https://doi.org/10.1016/j.apenergy.2023.120648openalex-extracted
Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization
inferredcites →https://doi.org/10.1016/j.apenergy.2023.121446openalex-extracted
Electricity Price Forecasting in New Zealand: A Comparative Analysis of Statistical and Machine Learning Models with Feature Selection
inferredcites →https://doi.org/10.1016/j.apenergy.2023.121499openalex-extracted
A data-driven approach for the prediction of coal seam gas content using machine learning techniques
inferredcites →https://doi.org/10.1016/j.apenergy.2023.121782openalex-extracted
Environmentally-viable utilization of chicken litter as energy recovery and electrode production: A machine learning approach
inferredcites →https://doi.org/10.1016/j.apenergy.2023.121783openalex-extracted
Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning
inferredcites →https://doi.org/10.1016/j.apenergy.2023.122249openalex-extracted
Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine
inferredcites →https://doi.org/10.1016/j.cattod.2004.06.060openalex-extracted
Preparation of palladium membrane over porous stainless steel tube modified with zirconium oxide
inferredcites →https://doi.org/10.1016/j.cattod.2005.03.045openalex-extracted
The catalytic dehydrogenation of isobutane to isobutene in a palladium/silver composite membrane reactor
inferredcites →https://doi.org/10.1016/j.cattod.2005.03.048openalex-extracted
Preparation of thin palladium composite membrane tube by a CVD technique and its hydrogen permselectivity
inferredcites →https://doi.org/10.1016/j.cattod.2005.06.012openalex-extracted
Preparation and characterization of palladium-plated porous glass for hydrogen enrichment
inferredcites →https://doi.org/10.1016/j.cattod.2006.09.038openalex-extracted
Production of hydrogen by steam reforming of glycerin over alumina-supported metal catalysts
inferredcites →https://doi.org/10.1016/j.cej.2005.06.010openalex-extracted
The effect of diffusion direction on the permeation rate of hydrogen in palladium composite membranes
inferredcites →https://doi.org/10.1016/j.egyr.2020.04.035openalex-extracted
Application of machine learning tools for energy efficiency in industry: A review
inferredcites →https://doi.org/10.1016/j.enconman.2019.02.017openalex-extracted
Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms
inferredcites →https://doi.org/10.1016/j.enconman.2021.114438openalex-extracted
Machine learning-based energy optimization for on-site SMR hydrogen production
inferredcites →https://doi.org/10.1016/j.energy.2019.116541openalex-extracted
Predictive modeling of biomass gasification with machine learning-based regression methods
inferredcites →https://doi.org/10.1016/j.energy.2020.117426openalex-extracted
The role of biogas and biogas-derived fuels in a 100% renewable energy system in Denmark
inferredcites →https://doi.org/10.1016/j.est.2021.103010openalex-extracted
Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages
inferredcites →https://doi.org/10.1016/j.fuel.2007.06.002openalex-extracted
Catalytic steam reforming of model biogas
inferredcites →https://doi.org/10.1016/j.fuel.2023.128436openalex-extracted
Experimental investigation of thermochemical syngas production in a scrap iron-based oxidizer reactor for industrial decarbonisation
inferredcites →https://doi.org/10.1016/j.ijhydene.2003.08.003openalex-extracted
A simulation study of the steam reforming of methane in a dense tubular membrane reactor
inferredcites →https://doi.org/10.1016/j.ijhydene.2006.10.050openalex-extracted
Hydrogen production by methanol reforming in supercritical water: Catalysis by in-situ-generated copper nanoparticles
inferredcites →https://doi.org/10.1016/j.ijhydene.2019.01.261openalex-extracted
Machine learning based prediction of metal hydrides for hydrogen storage, part I: Prediction of hydrogen weight percent
inferredcites →https://doi.org/10.1016/j.ijhydene.2019.02.108openalex-extracted
Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms
inferredcites →https://doi.org/10.1016/j.ijhydene.2023.01.310openalex-extracted
Membrane reactors for green hydrogen production from biogas and biomethane: A techno-economic assessment
inferredcites →https://doi.org/10.1016/j.ijhydene.2023.04.231openalex-extracted
High-temperature green hydrogen production: A innovative– application of SOEC coupled with AEC through sCO2 HP
inferredcites →https://doi.org/10.1016/j.ijhydene.2023.07.130openalex-extracted
From landfill to hydrogen: Techno-economic analysis of hybridized hydrogen production systems integrating biogas reforming and Power-to-Gas technologies
inferredcites →https://doi.org/10.1016/j.jclepro.2018.07.159openalex-extracted
A comparative analysis of electricity generation costs from renewable, fossil fuel and nuclear sources in G20 countries for the period 2015-2030
inferredcites →https://doi.org/10.1016/j.jclepro.2020.125437openalex-extracted
Economic feasibility and environmental impact analysis of landfill gas to energy technology in African urban areas
inferredcites →https://doi.org/10.1016/j.jclepro.2022.133377openalex-extracted
Towards a dramatic reduction in the European Natural Gas consumption: Italy as a case study
inferredcites →https://doi.org/10.1016/j.jece.2019.103060openalex-extracted
Power generation using landfill gas generated from new cell at the existing landfill site
inferredcites →https://doi.org/10.1016/j.jpowsour.2007.01.046openalex-extracted
Development of biogas reforming Ni-La-Al catalysts for fuel cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2014.09.058openalex-extracted
Model biogas steam reforming in a thin Pd-supported membrane reactor to generate clean hydrogen for fuel cells
inferredcites →https://doi.org/10.1016/j.memsci.2005.03.016openalex-extracted
A novel method for the preparation of thin dense Pd membrane on macroporous stainless steel tube filter
inferredcites →https://doi.org/10.1016/j.memsci.2005.03.039openalex-extracted
Preparation of a pinhole-free Pd–Ag membrane on a porous metal support for pure hydrogen separation
inferredcites →https://doi.org/10.1016/j.memsci.2005.04.050openalex-extracted
Electroless plating synthesis, characterization and permeation properties of Pd–Cu membranes supported on ZrO modified porous stainless steel
inferredcites →https://doi.org/10.1016/j.memsci.2007.06.040openalex-extracted
Preparation of thin palladium membranes on a porous support with rough surface
inferredcites →https://doi.org/10.1016/j.memsci.2007.10.028openalex-extracted
Ti–Ni–Pd dense membranes—The effect of the gas mixtures on the hydrogen permeation
inferredcites →https://doi.org/10.1016/j.memsci.2021.119914openalex-extracted
CO2-permselective membrane reactor for steam reforming of methane
inferredcites →https://doi.org/10.1016/j.net.2015.06.009openalex-extracted
Review of supercritical CO2 power cycle technology and current status of research and development
inferredcites →https://doi.org/10.1016/j.renene.2016.12.095openalex-extracted
Machine learning methods for solar radiation forecasting: A review
inferredcites →https://doi.org/10.1016/j.renene.2018.07.142openalex-extracted
Artificial neural network approach for the steam gasification of palm oil waste using bottom ash and CaO
inferredcites →https://doi.org/10.1016/j.renene.2020.05.023openalex-extracted
Hydrogen and/or syngas production through combined dry and steam reforming of biogas in a membrane reactor: A thermodynamic study
inferredcites →https://doi.org/10.1016/j.renene.2021.05.149openalex-extracted
Hydrogen as energy carrier: Techno-economic assessment of decentralized hydrogen production in Germany
inferredcites →https://doi.org/10.1016/j.renene.2023.119409openalex-extracted
Optimal RES integration for matching the Italian hydrogen strategy requirements
inferredcites →https://doi.org/10.1016/j.segan.2022.100980openalex-extracted
A new concept of a thermal network for energy resilience in mountain communities powered by renewable sources
inferredcites →https://doi.org/10.1016/j.wasman.2007.09.023openalex-extracted
Crop residues as soil amendments and feedstock for bioethanol production
inferredcites →https://doi.org/10.1016/j.wasman.2008.02.017openalex-extracted
Methane generation in tropical landfills: Simplified methods and field results
inferredcites →https://doi.org/10.1016/j.wasman.2011.09.021openalex-extracted
Determination of first-order landfill gas modeling parameters and uncertainties
inferredcites →https://doi.org/10.1016/j.wasman.2011.12.027openalex-extracted
Emission assessment at the Burj Hammoud inactive municipal landfill: Viability of landfill gas recovery under the clean development mechanism
inferredcites →https://doi.org/10.1016/s0166-1116(06)80251-7openalex-extracted
Validation of landfill gas formation models
inferredcites →https://doi.org/10.1016/s0360-3199(99)00047-6openalex-extracted
Process development for generating high purity hydrogen by using supported palladium membrane reactor as steam reformer
inferredcites →https://doi.org/10.1016/s1383-5866(03)00063-7openalex-extracted
Preparation of hydrogen-permselective palladium–silver alloy composite membranes by electroless co-deposition
inferredcites →https://doi.org/10.1021/es9606788openalex-extracted
Biodegradability of Municipal Solid Waste Components in Laboratory-Scale Landfills
inferredcites →https://doi.org/10.1080/01614940.2015.1099882openalex-extracted
Advances on methane steam reforming to produce hydrogen through membrane reactors technology: A review
inferredcites →https://doi.org/10.1097/00043764-196808000-00011openalex-extracted
Fundamentals of Industrial Hygiene
inferredcites →https://doi.org/10.1177/0734242x06065189openalex-extracted
A model to estimate the methane generation rate constant in sanitary landfills using fuzzy synthetic evaluation
inferredcites →https://doi.org/10.2139/ssrn.4473094openalex-extracted
inferredcites →https://doi.org/10.3390/su15032600openalex-extracted
Syngas Quality in Fluidized Bed Gasification of Biomass: Comparison between Olivine and K-Feldspar as Bed Materials
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.