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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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書誌詳細
主要な著者:	Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.
その他の著者:	57266877500
フォーマット:	論文
出版事項:	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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