Peter Laurinec

Orcid: 0000-0002-3501-8783

According to our database1, Peter Laurinec authored at least 9 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption.
J. Intell. Inf. Syst., 2019

Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting.
Data Min. Knowl. Discov., 2019

2018
TSrepr R package: Time Series Representations.
J. Open Source Softw., 2018

Clustering-based forecasting method for individual consumers electricity load using time series representations.
Open Comput. Sci., 2018

Application of Parallel Genetic Algorithm for Model-Based Gaussian Cluster Analysis.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018

2017
Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

2016
Using biologically inspired computing to effectively improve prediction models.
Int. J. Hybrid Intell. Syst., 2016

Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015


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