1. Sung, J.Y., Lee, J., Chung, I.M., Heo, J.H.: Hourly water level forecasting at tributary affecteby main river condition. Water (Switzerland) 9(9), 1–17 (2017)
2. Niedzielski, T., Miziński, B.: Real-time hydrograph modelling in the upper Nysa Kłodzka river basin (SW Poland): a two-model hydrologic ensemble prediction approach. Stoch. Environ. Res. Risk Assess. 31(6), 1555–1576 (2017)
3. Kimura, N., Yoshinaga, I., Sekijima, K., Azechi, I., Baba, D.: Convolutional neural network coupled with a transfer-learning approach for time-series flood predictions. Water (Switzerland) 12, 96 (2019)
4. Le, X.H., Ho, H.V., Lee, G., Jung, S.: Application of long short-term memory (LSTM) neural network for flood forecasting. Water (Switzerland) 11(7), 1387 (2019)
5. Ćirović, V., Bogdanović, D., Bartoš-Divac, V., Stefanović, D., Milašinović, M.: Decision support system for Iron Gate hydropower system operations. In: Contemporary Water Management: Challenges and Directions, pp. 293–309 (2022)