Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory

Research article (Energy, 2023) · cited 46× · AI/ML
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Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory

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Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-biomass-composition-and-operating-conditions-in-fluidized-bed-biomass-gasifiers-an-automated-machine-learning
MLA “Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-biomass-composition-and-operating-conditions-in-fluidized-bed-biomass-gasifiers-an-automated-machine-learning.
BibTeX @misc{4ortxyz_predicting-biomass-composition-and-operating-conditions-in-fluidized-bed-biomass-gasifiers-an-automated-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-biomass-composition-and-operating-conditions-in-fluidized-bed-biomass-gasifiers-an-automated-machine-learning}, note = {Accessed: 2026-05-24}}
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