Comments: Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

Machine learning models have been effectively applied to predict certain variable in several engineering applications where the variable is highly stochastic in nature and complex to identify utilizing the classical mathematical models. Therefore, this study investigates the capability of various ma...

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Bibliographic Details
Main Authors:	Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.
Other Authors:	57266877500
Format:	Article
Published:	Ain Shams University 2024
Subjects:	ARIMA artificial neural network (ANN) hydropower generation (HPG) machine learning (ML) support vector machine (SVM) Decision making Forecasting Hydroelectric power Learning algorithms Neural networks Reservoirs (water) Sensitivity analysis Stochastic models Stochastic systems Uncertainty analysis Artificial neural network Auto-regressive Autoregressive integrated moving aveage Hydro-power generation Hydropower generation Machine learning Machine learning algorithms Machine-learning Support vector machine Support vectors machine Support vector machines
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Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

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