There are deep learning techniques for CO2 emission prediction. These techniques are CNN-LSTM Hybrid Model, BPs, MLPs, LSSVR, SVR, RF, Ridge, ANN, and KNN. I have researched that the SVR-ANN method is the most efficient among these techniques.
Among these methods, I want a report to be written that supports why the SVR-ANN method is the best to use, why it should be chosen among other methods, and also provides detailed information about other methods.