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, vol. 17, no. 12, June 15, 2024.
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, vol. 17, no. 5, February 21, 2024.
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, vol. 105, pp. 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, vol. 32, 2021.
5. 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, vol. 14, no. 14, 2021.
6. 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, vol. 14, no. 12, 2021.
7. 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, vol. 14, no. 10, 2021.
8. 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, vol. 104, pp. 209-250, 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.", in Proceedings of the 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 Proceedings of the 57th International Universities Power Engineering Conference (UPEC), IEEE, Istanbul, Turkey, August 2022, pp. 1-6, 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