Journals

1. 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
2. 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, 32, p.100616. (2021)
3. P. Koukaras, C. Tjortjis, P. Gkaidatzis, N. Bezas, D. Ioannidis, D. Tzovaras, "An inter-disciplinary approach on efficient virtual microgrid to virtual microgrid energy balancing incorporating data preprocessing techniques.", Computing, pp.1-42 (2021)
4. A. Bintoudi, N. Bezas, L. Zyglakis, G. Isaioglou, C. Timplalexis, P. Gkaidatzis, A. Tryferidis, D. Ioannidis, D. Tzovaras, "Incentive-Based Demand Response Framework for Residential Applications: Design and Real-Life Demonstration.", Energies, 14(14), p.4315. (2021)
5. P. Koukaras, P. Gkaidatzis, N. Bezas, T. Bragatto, F. Carere, F. Santori, M. Antal, D. Ioannidis, C. Tjortjis, D. Tzovaras, "A Tri-Layer Optimization Framework for Day-Ahead Energy Scheduling Based on Cost and Discomfort Minimization.", Energies, 14(12), p.3599. (2021)
6. 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

Conference

1. 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.
2. 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.
3. 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
4. A. Tsolakis, A. Bintoudi, L. Zyglakis, S. Zikos, C. Timplalexis, N. Bezas, K. Kitsikoudis, D. Ioannidis, D. Tzovaras, "Design and Real-Life Deployment of a Smart Nanogrid: A Greek Case Study", In 2020 IEEE International Conference on Power and Energy (PECon 2020), Georgetown, Penang, Malaysia, 7-8 December, IEEE DOI: 10.1109/PECon48942.2020.9314396
5. C. Timplalexis, N. Bezas, A. Bintoudi, L. Zyglakis, V. Pavlopoulos, A. Tsolakis, S. Krinidis, D. Tzovaras, "A hybrid physical/statistical day-ahead direct PV forecasting engine",12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2020), Paphos, Cyprus, Nov. 2020