Journals

1. N. Andreadou, C. Tsotakis, P. A. Gkaidatzis, G. Pitsiladis, E. Kotsakis, D. Ioannidis, A. Papanikolaou, D. Tzovaras, "Interoperability Testing for Explicit Demand Response in Buildings.", Energies. 2024 Jun 15;17(12):2955.
2. P. Koukaras, K. D. Afentoulis, P. A. Gkaidatzis, A. Mystakidis, D. Ioannidis, S. I. Vagropoulos, C. Tjortjis, "Integrating Blockchain in Smart Grids for Enhanced Demand Response: Challenges, Strategies, and Future Directions.", Energies. 2024 Feb 21;17(5):1007.
3. A. Mystakidis, E. Ntozi, K. Afentoulis, P. Koukaras, P. Gkaidatzis, D. Ioannidis, C. Tjortjis, D. Tzovaras, "Energy generation forecasting: Elevating performance with machine and deep learning.", Computing 105, 1623–1645 (2023). https://doi.org/10.1007/s00607-023-01164-y
4. 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)
5. 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)
6. 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)
7. 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)
8. A. Bintoudi, L. Zyglakis, A. Tsolakis, P. Gkaidatzis, A. Tryferidis, D. Ioannidis, D. Tzovaras, "OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration.", Energies, 14(10), p.2752. (2021)

Conference

1. A. Mystakidis, N. Tsalikidis, P. Koukaras, C. Kontoulis, P. A. Gkaidatzis, D. Ioannidis, C. Tjortjis, D. Tzovaras, "Power Load Forecasting: A Time-series Multi-step ahead and Multi-model analysis.", Proc. IEEE 58th Int’l Universities Power Engineering Conf. (UPEC 23), 2023.
2. 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
3. M. Lazzaro, G. Paterno, J. Landeck, J. Valino, A. Perez-Ortiz, O. Camara, D. G. Fernandez, P. Gkaidatzis, A. Tryferidis, D. Tzovaras, "Smart ICT framework for the intelligent management of different modern energy systems", 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Genoa, Italy, 2019. DOI: https://doi.org/10.1109/EEEIC.2019.8783709