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 2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA) 2023 Nov 24 (pp. 149-154). IEEE.
• 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. 2023; 11(6):163. https://doi.org/10.3390/economies11060163
• 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 2022 57th International Universities Power Engineering Conference (UPEC) (pp. 1-6). IEEE, Istanbul, Turkey, August 2022. doi: 10.1109/UPEC55022.2022.9917790
• P. Tzallas, N. Bezas, I. Moschos, D. Ioannidis, D. Tzovaras, "Probabilistic Quantile Multi-step Forecasting of Energy Market Prices: A UK Case Study", . In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 301-313). Springer, Cham, 2022.
• A. Salamanis, G. Xanthopoulou, N. Bezas, C. Timplalexis, A. Bintoudi, L. Zyglakis, A. Tsolakis, D. Ioannidis, D. Kehagias, D. Tzovaras, "Benchmark Comparison of Analytical, Data-Based and Hybrid Models for Multi-Step Short-Term Photovoltaic Power Generation Forecasting", Energies (2020), 13(22), 5978, doi: https://doi.org/10.3390/en13225978