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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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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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