A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic Co-digestion of organic waste-Reference-Cited by-同舟云学术

A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic Co-digestion of organic waste

Published:2024-01 Issue: Volume:180 Page:106995
ISSN:0961-9534
Container-title:Biomass and Bioenergy
language:en
Short-container-title:Biomass and Bioenergy

Author:

Ahmad Aqueel^ORCID,Yadav Ashok Kumar,Singh Achhaibar,Singh Dinesh Kumar

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Agronomy and Crop Science,Renewable Energy, Sustainability and the Environment,Forestry

Reference44 articles.

1. Biogas generation potential of discarded food waste residue from ultra-processing activities at food manufacturing and packaging industry;Singh;Energy,2023

2. Technical and economic feasibility analysis of an anaerobic digestion plant fed with canteen food waste;Huiru;Energy Convers. Manag.,2019

3. Transition of biofuels from the first to the fourth generation: the journey so far;Gujjala Lohit Kumar,2023

4. Impact of municipal solid waste landfill leachate on biogas production rate;Singh;J. Environ. Manag.,2023

5. Integration of anaerobic digestion with heat Pump: machine learning-based technical and environmental assessment;Ouderji;Bioresour. Technol.,2023

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