持有資料: 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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Main Authors:	Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.
其他作者:	57266877500
格式:	Article
出版:	Ain Shams University 2024
主題:	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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