YUNIS, R.; HARUMY, T. H. F.; EFENDI, S. Evaluating deep learning architectures for CO2 emissions forecasting: TCN, LSTM, and hybrid approaches with hyperparameter optimization. Eastern-European Journal of Enterprise Technologies, [S. l.], v. 5, n. 10 (137), p. 20–32, 2025. DOI: 10.15587/1729-4061.2025.331523. Disponível em: https://journals.uran.ua/eejet/article/view/331523. Acesso em: 7 feb. 2026.