Prediction of hydroelectric power generation with machine learning and innovative combined deep learning techniques

Stochastic Environmental Research and Risk Assessment 2026

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Authors: Banu Yılmaz, Egemen Aras, Saeed Samadianfard

DOI: 10.1007/s00477-025-03140-8

Cited by: 4

References: 46

Fields of Study & Subjects

Hydrological Forecasting Using AI Water resources management and optimization Energy Load and Power Forecasting

References 46