The source code for the papers:
-
"New Clustering-based Forecasting Method for Disaggregated End-consumer Electricity Load Using Smart Grid Data";
-
"Clustering-based forecasting method for individual consumers electricity load using time series representations".
Citations:
-
P. Laurinec and M. Lucká, "New clustering-based forecasting method for disaggregated end-consumer electricity load using smart grid data," 2017 IEEE 14th International Scientific Conference on Informatics, Poprad, Slovakia, 2017, pp. 210-215. doi: 10.1109/INFORMATICS.2017.8327248. Link for .pdf here.
-
P. Laurinec and M. Lucká, "Clustering-based forecasting method for individual consumers electricity load using time series representations" Open Computer Science, 8(1), (2018): pp. 38-50. Retrieved 31 Jul. 2018, from doi: 10.1515/comp-2018-0006. Link for .pdf here.
The implementation of time series representation methods used in experiments is in the R package TSrepr.
You can read more about my research here: petolau.github.io/research/.