23 citations as recorded by crossref.

1. Comparative study of forecasting approaches in monthly streamflow series from Brazilian hydroelectric plants using Extreme Learning Machines and Box & Jenkins models J. Belotti et al. 10.2478/johh-2021-0001
2. Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs – a conceptual approach M. Cassagnole et al. 10.5194/hess-25-1033-2021
3. Quantifying streamflow predictive uncertainty for the optimization of short-term cascade hydropower stations operations Y. Liu et al. 10.1016/j.jhydrol.2021.127376
4. Model Predictive Control of water resources systems: A review and research agenda A. Castelletti et al. 10.1016/j.arcontrol.2023.03.013
5. Neural-Based Ensembles and Unorganized Machines to Predict Streamflow Series from Hydroelectric Plants J. Belotti et al. 10.3390/en13184769
6. Enhancing Streamflow Forecasting in Major West African Rivers by Utilizing Meta-Heuristic Algorithms and Climate Data Time Lag Analysis A. Danladi Bello et al. 10.70322/hee.2025.10006
7. Research on Reservoir Optimal Operation Based on Long-Term and Mid-Long-Term Nested Models C. Mo et al. 10.3390/w14040608
8. Average domination: A new multi-objective value metric applied to assess the benefits of forecasts in reservoir operations under different flood design levels J. Quinn et al. 10.1016/j.advwatres.2024.104638
9. Comparing a long short-term memory (LSTM) neural network with a physically-based hydrological model for streamflow forecasting over a Canadian catchment B. Sabzipour et al. 10.1016/j.jhydrol.2023.130380
10. Coupling large-scale climate indices with a stochastic weather generator to improve long-term streamflow forecasts in a Canadian watershed S. Sohrabi et al. 10.1016/j.jhydrol.2020.125925
11. Digitalization, Industry 4.0, Data, KPIs, Modelization and Forecast for Energy Production in Hydroelectric Power Plants: A Review C. Pepe & S. Zanoli 10.3390/en17040941
12. Evaluation of Ensemble Inflow Forecasts for Reservoir Management in Flood Situations J. Mendes & R. Maia 10.3390/hydrology10020028
13. Forecast Families: A New Method to Systematically Evaluate the Benefits of Improving the Skill of an Existing Forecast C. Rougé et al. 10.1061/JWRMD5.WRENG-5934
14. Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods H. Siqueira et al. 10.3390/en13164236
15. Improving multi-model ensemble streamflow forecasts by combining lumped, distributed and deep learning hydrological models W. Armstrong et al. 10.1080/02626667.2025.2471430
16. Effect of the quality of streamflow forecasts on the operation of cascade hydropower stations using stochastic optimization models Y. Liu et al. 10.1016/j.energy.2023.127298
17. Evaluation of the potential of using subsets of historical climatological data for ensemble streamflow prediction (ESP) forecasting B. Sabzipour et al. 10.1016/j.jhydrol.2020.125656
18. Long-Term Scheduling of Cascade Reservoirs Considering Inflow Forecasting Uncertainty Based on a Disaggregation Model X. Ding et al. 10.1007/s11269-020-02748-5
19. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al. 10.3390/w15091693
20. Sensitivity analysis of the hyperparameters of an ensemble Kalman filter application on a semi-distributed hydrological model for streamflow forecasting B. Sabzipour et al. 10.1016/j.jhydrol.2023.130251
21. Use of Ensemble-Based Forecasting Methods in Reservoir Operation: Issues and Implementation Challenges R. Teegavarapu et al. 10.1061/JHYEFF.HEENG-6467
22. Value of various elements of the hydrological forecasting chain: Is there a successful pathway for improving the overall performance? J. Davidson-Chaput et al. 10.1016/j.jhydrol.2025.133186
23. Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting V. Ribeiro et al. 10.1016/j.engappai.2020.103910