Table 1 Error comparison of prediction results of each model before optimization.

From: Comparative study of machine learning methods for carbon metering in power generation enterprises

Model

RMSE

MAE

R2

MAPE

Accuracy

Linear regression

487.94

329.61

0.94

8.2%

41%

XGBoost

559.69

357.07

0.93

8.14%

45.3%

LSTM

1960

1647

0.082

43.8%

42.8%