Environmental Science and Ecotechnology2026，Vol.29Issue(1)：P.108-118,11.DOI:10.1016/j.ese.2026.100662
Machine learning vs.ADM1:Reliable biogas prediction with minimal data requirements in full-scale plants
Sofia Tisocco 1Soren Weinrich 2Henrik Bjarne Møller 3Alastair James Ward 3Liam Kilmartin 4Xinmin Zhan 5Paul Crosson6
作者信息
- 1. Civil Engineering,School of Engineering,University of Galway,Galway,H91 TK33,Ireland Teagasc Animal and Bioscience Research Department,Animal and Grassland Research and Innovation Centre,Dunsany,C15 PW93,Ireland
- 2. Faculty of Energy⋅Building Services⋅Environmental Engineering,Münster University of Applied Sciences,Stegerwaldstraße 39,48565,Steinfurt,Germany Biochemical Conversion Department,Deutsches Biomasseforschungszentrum gemeinnützige GmbH,Torgauer Straße 116,Leipzig,04347,Germany
- 3. Department of Biological and Chemical Engineering,Aarhus University,Blichers All�e 20,Tjele 8830,Denmark
- 4. Electrical and Electronic Engineering,School of Engineering,University of Galway,Galway,H91 TK33,Ireland
- 5. Civil Engineering,School of Engineering,University of Galway,Galway,H91 TK33,Ireland Ryan Institute,University of Galway,Galway,H91 TK33,Ireland MaREI Research Centre for Energy,Climate and Marine,Ryan Institute,University of Galway,Galway,H91 TK33,Ireland
- 6. Teagasc Animal and Bioscience Research Department,Animal and Grassland Research and Innovation Centre,Dunsany,C15 PW93,Ireland
- 折叠
摘要
关键词
ADM1/Anaerobic digestion/Biogas technology/Feature importance/Machine learning/Parameter estimation分类
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Sofia Tisocco,Soren Weinrich,Henrik Bjarne Møller,Alastair James Ward,Liam Kilmartin,Xinmin Zhan,Paul Crosson..Machine learning vs.ADM1:Reliable biogas prediction with minimal data requirements in full-scale plants[J].Environmental Science and Ecotechnology,2026,29(1):P.108-118,11.基金项目
financed by the Teagasc Walsh Scholarship Programme(Ref:2021010). （Ref:2021010）
