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Publikováno v:
Scientific Journal of Astana IT University, Vol 16, Iss 16 (2023)
The critical transformation of the energy sector demands innovative approaches to ensure the reliability and efficiency of energy systems. In this pursuit, this study delved into the potential of Deep Recurrent Neural Networks (DRNNs) for forecasting
Externí odkaz:
https://doaj.org/article/41372234b44f4a5e8184d3c715a2c66e