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Projects
- 1 Active
Research output
- 2 Article in proceeding
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Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data
Tirupathi, S., Salwala, D., Zizzo, G., Rawat, A., Purcell, M., Jensen, S. K., Thomsen, C., Ho, N., Cuza, C. E. M., Brusokas, J., Pedersen, T. B., Alexiou, G., Giannopoulos, G., Gidarakos, P., Kalimeris, A., Maroulis, S., Papastefanatos, G., Psarros, I., Stamatopoulos, V. & Terrovitis, M., 20 Dec 2022, 2022 IEEE International Conference on Big Data (Big Data). Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). IEEE Communications Society, p. 3179-3185 7 p. 10020540Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps
Brusokas, J., Pedersen, T. B., Siksnys, L., Zhang, D. & Chen, K., 22 Jun 2021, e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. New York: Association for Computing Machinery, p. 160-170 11 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile1 Citation (Scopus)66 Downloads (Pure)