Prediction of Electric Energy in Hydroelectric Plants by Machine Learning Methods: The Example of Mingachevir Dam
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31956-3_60
Reference18 articles.
1. Castillo-Botón, C., et al.: Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques. Water 12 (2020). https://doi.org/10.3390/W12061528
2. Unal, Y.S., Deniz, A., Toros, H., Incecik, S.: Temporal and spatial patterns of precipitation variability for annual, wet, and dry seasons in Turkey. Int. J. Climatol. 32, 392–405 (2012). https://doi.org/10.1002/joc.2274
3. Aksoy, B., Selbaş, R.: Estimation of wind turbine energy production value by using machine learning algorithms and development of implementation program. Energy Sources Part A Recovery Utilization Environ. Eff. 43, 692–704 (2021). https://doi.org/10.1080/15567036.2019.1631410
4. Cao, E., et al.: A hybrid feature selection-multidimensional LSTM framework for deformation prediction of super high arch dams. KSCE J. Civ. Eng. 26, 4603–4616 (2022). https://doi.org/10.1007/s12205-022-1553-8
5. Madrid, E.A., Antonio, N.: Short-term electricity load forecasting with machine learning. Inf. 12, 1–21 (2021). https://doi.org/10.3390/info12020050
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