Power load modeling presentation in Barcelona

During December 12th to 15th 2016 the team of authors from the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava attended one of the workshops of the 16th IEEE International Conference on Data Mining (ICDM 2016) in Barcelona – the Workshop on Data Mining for Energy Modeling and Oprimation (DaMEMO'2016). The team presented two research papers on power load forecasting from smart metering data. The conference participation was possible due to the support from the ITMS 26240120039 project.

Laurinec, P., Loderer, M., Vrablecova, P., Lucka, M., Rozinajova, V., & Ezzeddine, A. B. (2016). Adaptive time series forecasting of energy consumption using optimized cluster analysis. In C. Domeniconi, F. Gullo, F. Bonchi, J. Domingo-Ferrer, R. Baeza-Yates, Z.-H. Zhou, & X. Wu (Eds.), 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) (pp. 398–405). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ICDMW.2016.0063

Vrablecova, P., Rozinajova, V., & Ezzeddine, A. B. (2016). Incremental time series prediction using error-driven informed adaptation. In C. Domeniconi, F. Gullo, F. Bonchi, J. Domingo-Ferrer, R. Baeza-Yates, Z.-H. Zhou, & X. Wu (Eds.), 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) (pp. 414–421). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ICDMW.2016.0065