Key wastes selection and prediction improvement for biogas production through hybrid machine learning methods
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Key wastes selection and prediction improvement for biogas production through hybrid machine learning methods
Authors
Keywords
-
Journal
Sustainable Energy Technologies and Assessments
Volume 52, Issue -, Pages 102223
Publisher
Elsevier BV
Online
2022-04-23
DOI
10.1016/j.seta.2022.102223
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficiency of sweet whey fermentation with psychrophilic methanogens
- (2021) Marcin Dębowski et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection
- (2021) Weiwei Huo et al. ENERGY CONVERSION AND MANAGEMENT
- Artificial intelligence for planning of energy and waste management
- (2021) Jueru Huang et al. Sustainable Energy Technologies and Assessments
- Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models
- (2020) Fatih Tufaner et al. Clean Technologies and Environmental Policy
- Interactive Effects of Carbohydrate, Lipid, Protein Composition and Carbon/Nitrogen Ratio on biogas production of different food wastes
- (2020) Shengrong Xue et al. BIORESOURCE TECHNOLOGY
- Biohydrogen production via thermophilic fermentation: A prospective application of Thermotoga species
- (2020) Weilan Shao et al. ENERGY
- Mesophilic fermentation upgrades SCFA production from natural/raw henna plant biomass
- (2020) Jingang Huang et al. Biomass Conversion and Biorefinery
- Modeling of a full-scale sewage treatment plant to predict the nutrient removal efficiency using a long short-term memory (LSTM) neural network
- (2020) Muhammad Yaqub et al. Journal of Water Process Engineering
- Machine learning powered software for accurate prediction of biogas production: A case study on industrial-scale Chinese production data
- (2019) Djavan De Clercq et al. JOURNAL OF CLEANER PRODUCTION
- State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
- (2019) Amir Mosavi et al. Energies
- Waste to energy technology: The potential of sustainable biogas production from animal waste in Indonesia
- (2019) Munawar Khalil et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM
- (2019) Min-Rong Chen et al. IEEE Internet of Things Journal
- Wind power forecasting based on daily wind speed data using machine learning algorithms
- (2019) Halil Demolli et al. ENERGY CONVERSION AND MANAGEMENT
- A review of deep learning for renewable energy forecasting
- (2019) Huaizhi Wang et al. ENERGY CONVERSION AND MANAGEMENT
- A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment
- (2019) Nisha Arora et al. APPLIED SOFT COMPUTING
- Gas turbine performance prediction via machine learning
- (2019) Zuming Liu et al. ENERGY
- EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization
- (2019) Feixiang Zhao et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion
- (2019) Djavan De Clercq et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †
- (2018) Salah Bouktif et al. Energies
- Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
- (2018) Jie Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Artificial neural network model to predict behavior of biogas production curve from mixed lignocellulosic co-substrates
- (2018) Manjula Das Ghatak et al. FUEL
- Optimization of specific methane yield prediction models for biogas crops based on lignocellulosic components using non-linear and crop-specific configurations
- (2018) Moritz von Cossel et al. INDUSTRIAL CROPS AND PRODUCTS
- Business models and supply chains for the circular economy
- (2018) Martin Geissdoerfer et al. JOURNAL OF CLEANER PRODUCTION
- How do scholars approach the circular economy? A systematic literature review
- (2018) Roberto Merli et al. JOURNAL OF CLEANER PRODUCTION
- The Relevance of Circular Economy Practices to the Sustainable Development Goals
- (2018) Patrick Schroeder et al. JOURNAL OF INDUSTRIAL ECOLOGY
- Electricity generation from biogas of poultry waste: An assessment of potential and feasibility in Pakistan
- (2018) Muhammad Arshad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Biogas: Developments and perspectives in Europe
- (2018) Nicolae Scarlat et al. RENEWABLE ENERGY
- Circular economy meets industry 4.0: Can big data drive industrial symbiosis?
- (2018) Ming-Lang Tseng et al. RESOURCES CONSERVATION AND RECYCLING
- Biogas system in rural China: Upgrading from decentralized to centralized?
- (2017) Qiu Chen et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Technological Overview of Biogas Production from Biowaste
- (2017) Spyridon Achinas et al. Engineering
- Kinetic study on the effect of temperature on biogas production using a lab scale batch reactor
- (2015) B. Deepanraj et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- A comparative study of leachate quality and biogas generation in simulated anaerobic and hybrid bioreactors
- (2015) Qiyong Xu et al. WASTE MANAGEMENT
- Power generation with biogas from municipal solid waste: Prediction of gas generation with in situ parameters
- (2013) Quetzalli Aguilar-Virgen et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Improved biogas production from rice straw by co-digestion with kitchen waste and pig manure
- (2013) Jingqing Ye et al. WASTE MANAGEMENT
- Improving pig manure conversion into biogas by thermal and thermo-chemical pretreatments
- (2009) Hélène Carrère et al. BIORESOURCE TECHNOLOGY
- Principles and potential of the anaerobic digestion of waste-activated sludge
- (2008) Lise Appels et al. PROGRESS IN ENERGY AND COMBUSTION SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started