9 citations as recorded by crossref.

1. Impact of climatic factors on the prediction of hydroelectric power generation: a deep CNN-SVR approach M. Özbay Karakuş 10.1080/10106049.2023.2253203
2. Parabolic Modeling Forecasts of Space and Time European Hydropower Production C. Lincaru et al. 10.3390/pr12061098
3. Stochastic Simulation-Optimisation Framework for the Design and Assessment of Renewable Energy Systems Under Uncertainty G. Sakki et al. 10.2139/ssrn.4109850
4. Smart hydropower management: utilizing machine learning and deep learning method to enhance dam’s energy generation efficiency M. Sahin & M. Ozbay Karakus 10.1007/s00521-024-09613-1
5. Application of Machine Learning in Water Resources Management: A Systematic Literature Review F. Ghobadi & D. Kang 10.3390/w15040620
6. Stochastic simulation-optimization framework for the design and assessment of renewable energy systems under uncertainty G. Sakki et al. 10.1016/j.rser.2022.112886
7. Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources A. Krechowicz et al. 10.3390/en15239146
8. Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI) D. Maciejewski et al. 10.3390/en17246401
9. A Weak-Coupling Flow-Power Forecasting Method for Small Hydropower Station Group B. Chen et al. 10.1155/2023/1214269