Virtsionis Gkalinikis

Virtsionis Gkalinikis, N.; Nalmpantis, C.; Vrakas, D. Variational Regression for Multi-Target Energy Disaggregation. Sensors 2023, 23, 2051. https://doi.org/10.3390/s23042051
N. V. Gkalinikis and D. Vrakas, "Efficient Deep Learning Techniques for Water Disaggregation," 2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), Thessaloniki, Greece, 2022, pp. 1-6, doi: 10.1109/SyNERGYMED55767.2022.9941424.
Virtsionis Gkalinikis, Nikolaos, Christoforos Nalmpantis, and Dimitris Vrakas. 2022. "Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch" Energies 15, no. 7: 2647. https://doi.org/10.3390/en15072647
Nalmpantis, Christoforos, Nikolaos Virtsionis Gkalinikis, and Dimitris Vrakas. 2022. "Neural Fourier Energy Disaggregation" Sensors 22, no. 2: 473. https://doi.org/10.3390/s22020473
Virtsionis-Gkalinikis, N., Nalmpantis, C. & Vrakas, D. SAED: self-attentive energy disaggregation. Mach Learn (2021). https://doi.org/10.1007/s10994-021-06106-3
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Aristotle University of Thessaloniki
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