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Prediction of Gas Concentration Based on LSTM-LightGBM Variable Weight Combination Model
2022
Energies
Gas accidents threaten the safety of underground coal mining, which are always accompanied by abnormal gas concentration trend. The purpose of this paper is to improve the prediction accuracy of gas concentration so as to prevent gas accidents and improve the level of coal mine safety management. Combining the LSTM model with the LightGBM model, the LSTM-LightGBM model is proposed with variable weight combination method based on residual assignment, which considers not only the time subsequence
doi:10.3390/en15030827
fatcat:tioanv4ezrhgdkxvenwq2zku2y