Optimization of parameters that affect biogas production of anaerobic digestion using a particle swarm algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42108-022-00226-9.pdf
Reference28 articles.
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3. Asadi, M., & McPhedran, K. (2021). Biogas maximization using data-driven modeling with uncertainty analysis and genetic algorithm for municipal wastewater anaerobic digestion. Journal of Environmental Management, 293, 112875. https://doi.org/10.1016/j.jenvman.2021.112875
4. Beltramo, T., Klocke, M., & Hitzmann, B. (2019). Prediction of the biogas production using GA and ACO input features selection method for ANN model. Information Processing in Agriculture, 6(3), 349–356. https://doi.org/10.1016/j.inpa.2019.01.002
5. Choong, Y. Y., Chou, K. W., & Norli, I. (2018). Strategies for improving biogas production of palm oil mill effluent (POME) anaerobic digestion: A critical review. Renewable and Sustainable Energy Reviews, 82, 2993–3006. https://doi.org/10.1016/j.rser.2017.10.036
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