Ensemble forecasting method published in JIIS journal
The Journal of Intelligent Information Systems (JIIS), which is published by Springer and listed in Current Contents database, issued a paper by the team of researchers from the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava titled
The research focused on ensemble power load forecasting from smart metering data of a group of consumers. To form the groups of consumers clustering methods were employed. The work was partially supported by the ITMS 26240120039 project.
Laurinec, P., Lóderer, M., Lucká, M., & Rozinajová, V. (2019). Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption. Journal of Intelligent Information Systems, 1–21. https://doi.org/10.1007/s10844-019-00550-3