International conference on data mining and big data

8/8/2017 Big data

The PhD student from the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava Petra Vrablecová presented her research paper titled

Incremental Adaptive Time Series Prediction for Power Demand Forecasting

about power load forecasting from smart metering data on the international conference Data Mining and Big Data (DMBD), that took place from July 27th to August 1st 2017 in Fukuoka, Japan. The conference introduced the latest theory, technology and applications of data mining and big data. The attendance of the conference was possible due to support of the ITMS 26240120039 project.

Vrablecová, P., Rozinajová, V., & Bou Ezzeddine, A. (2017). Incremental Adaptive Time Series Prediction for Power Demand Forecasting. In Y. Tan, H. Takagi, & Y. Shi (Eds.), Data Mining and Big Data (LNCS) (Vol. 10387, pp. 83–92). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-61845-6_9

 


(source: http://dmbd2017.ic-si.org/)