Modification of Anaerobic Digestion Model No.1 with Machine Learning Models Towards Applicable and Accurate Simulation of Biomass Anaerobic Digestion

•An M−ADM1 framework based on ML and ADM1 was proposed to simulate biomass anaerobic digestion.•SVM model was embed in M−ADM1 to predict crucial kinetic parameters during anaerobic digestion.•An average R2 of 0.92 and RMSE of 0.167 were obtained for predicting the crucial kinetic parameters.•The TIC for municipal solid waste, kitchen waste, and sludge reached 0.0163, 0.0327, and 0.0361.•The results provide promising potentials towards simulation of biomass anaerobic digestion.