Recent Publications

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• T. Samaras, A. Dimara, P. Tzallas, A. Papaioannou, N. Bezas, S. Krinidis, C. N. Anagnostopoulos, D. Ioannidis, D. Tzovaras, "Edge-Computing FogFlow Framework For Solar Generation Prediction Exploiting Federated Learning.", in Proceedings of the International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), November 24, 2023, pp. 149-154.
• M. Andrijauskiene, D. Ioannidis, D. Dumciuviene, A. Dimara, N. Bezas, A. Papaioannou, S. Krinidis, "European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis.", Economies, vol. 11, no. 6, 2023. https://doi.org/10.3390/economies11060163
• P. Tzallas, N. Bezas, I. Moschos, D. Ioannidis, D. Tzovaras, "Probabilistic Quantile Multi-step Forecasting of Energy Market Prices: A UK Case Study.", in Proceedings of the IFIP International Conference on Artificial Intelligence Applications and Innovations, Springer, Cham, 2022, pp. 301-313.
• A. Mystakidis, E. Ntozi, K. Afentoulis, P. Koukaras, G. Giannopoulos, N. Bezas, P. Gkaidatzis, D. Ioannidis, C. Tjortjis, D. Tzovaras, "One Step Ahead Energy Load Forecasting: A Multi-model approach utilizing Machine and Deep Learning.", in Proceedings of the 57th International Universities Power Engineering Conference (UPEC), IEEE, Istanbul, Turkey, August 2022, pp. 1-6, doi: 10.1109/UPEC55022.2022.9917790
• P. Koukaras, N. Bezas, P. Gkaidatzis, D. Ioannidis, D. Tzovaras, C. Tjortjis, "Introducing a novel approach in one-step ahead energy load forecasting.", Sustainable Computing: Informatics and Systems, vol. 32, 2021.