Comprehensive Analysis and Machine Learning Modeling of Hydrochar Characteristics: Optimizing Production Variables and Predictive Insights

  1. Forján, Rubén 14
  2. Amado Fierro, Álvaro 2
  3. Centeno, Teresa A. 2
  4. López Sánchez, Carlos A. 3
  5. R. Gallego, Jose Luis 1
  6. Salgado, Lorena 13
  1. 1 Biogeochemistry & Raw Materials Group and INDUROT, Campus of Mieres, University of Oviedo. Spain
  2. 2 Carbon Science and Technology Institute (INCAR-CSIC). Spain
  3. 3 SMartForest Group, BOS Department, Polytechnic School of Mieres, University of Oviedo. Spain
  4. 4 Plant Production Area, BOS Department, University of Oviedo
Proceedings:
EGU General Assembly 2024. Vienna, Austria & Online | 14–19 April 2024

Year of publication: 2024

Type: Conference paper

DOI: 10.5194/EGUSPHERE-EGU24-16746 GOOGLE SCHOLAR lock_openOpen access editor