Modeling and optimization of semi-continuous anaerobic co-digestion of activated sludge and wheat straw using Nonlinear Autoregressive Exogenous neural network and seagull algorithm
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DOI: 10.1016/j.energy.2021.122939
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- Li, Pengfei & Cheng, Chongbo & Guo, Rui & Yu, Ran & Jiao, Youzhou & Shen, Dekui & He, Chao, 2022. "Interactions among the components of artificial biomass during their anaerobic digestion with and without sewage sludge," Energy, Elsevier, vol. 261(PB).
- Akhilesh Kumar Singh & Priti Pal & Saurabh Singh Rathore & Uttam Kumar Sahoo & Prakash Kumar Sarangi & Piotr Prus & Paweł Dziekański, 2023. "Sustainable Utilization of Biowaste Resources for Biogas Production to Meet Rural Bioenergy Requirements," Energies, MDPI, vol. 16(14), pages 1-22, July.
- Nahid Sultana & S. M. Zakir Hossain & Salma Hamad Almuhaini & Dilek Düştegör, 2022. "Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand," Energies, MDPI, vol. 15(9), pages 1-26, May.
- Campo, Giuseppe & Cerutti, Alberto & Zanetti, Mariachiara & De Ceglia, Margherita & Scibilia, Gerardo & Ruffino, Barbara, 2023. "A modelling approach for the assessment of energy recovery and impact on the water line of sludge pre-treatments," Energy, Elsevier, vol. 274(C).
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Keywords
Anaerobic Co-digestion; Wheat straw; Activated sludge; Renewable energy; Sustainable development; Artificial neural network;All these keywords.
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