Peter Laurinec

发表

Incremental Ensemble Learning for Electricity Load Forecasting

Anna Bou Ezzeddine, M. Lucká, Gabriela Grmanová, 2016 .

Is Unsupervised Ensemble Learning Useful for Aggregated or Clustered Load Forecasting ?

Peter Laurinec, 2017 .

Improving Forecasting Accuracy Through the Influence of Time Series Representations and Clustering

Peter Laurinec, 2018 .

Application of Parallel Genetic Algorithm for Model-Based Gaussian Cluster Analysis

Peter Laurinec, Tomáš Jarábek, Maria Lucka, 2018, IBICA.

Clustering-based forecasting method for individual consumers electricity load using time series representations

Peter Laurinec, Mária Lucká, M. Lucká, 2018, Open Comput. Sci..

TSrepr R package: Time Series Representations

Peter Laurinec, Peter Laurinec, 2018, J. Open Source Softw..

Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption

Peter Laurinec, Marek Lóderer, Mária Lucká, 2019, Journal of Intelligent Information Systems.

Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting

M. Lucká, Peter Laurinec, 2018, Data Mining and Knowledge Discovery.

Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis

Peter Laurinec, Marek Lóderer, Mária Lucká, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Using biologically inspired computing to effectively improve prediction models

Peter Laurinec, Marek Lóderer, Mária Lucká, 2016, Int. J. Hybrid Intell. Syst..

Energy load forecast using S2S deep neural networks with k-Shape clustering

Peter Laurinec, Tomáš Jarábek, Mária Lucká, 2017, 2017 IEEE 14th International Scientific Conference on Informatics.

Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning

Peter Laurinec, Marek Lóderer, Mária Lucká, 2015, NaBIC.

Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load

Peter Laurinec, Mária Lucká, M. Lucká, 2017, NFMCP@PKDD/ECML.