All Stories

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

    Article • Journal of Intelligent Information Systems, March 2019, Springer Science + Business Media

    PhD. Peter Laurinec

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

    Article • January 2019, Springer Science + Business Media

    PhD. Peter Laurinec

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

    Article • Data Mining and Knowledge Discovery, November 2018, Springer Science + Business Media

    PhD. Peter Laurinec

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

    Article • Open Computer Science, July 2018, De Gruyter

    PhD. Peter Laurinec

  5. TSrepr R package: Time Series Representations

    Article • The Journal of Open Source Software, March 2018, The Open Journal

    PhD. Peter Laurinec

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

    Article • January 2018, Springer Science + Business Media

    PhD. Peter Laurinec

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

    Article • November 2017, Institute of Electrical & Electronics Engineers (IEEE)

    PhD. Peter Laurinec

  8. New clustering-based forecasting method for disaggregated end-consumer electricity load using smart grid data

    Article • November 2017, Institute of Electrical & Electronics Engineers (IEEE)

    PhD. Peter Laurinec

  9. Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis

    Article • December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    PhD. Peter Laurinec

  10. Using biologically inspired computing to effectively improve prediction models

    Article • International Journal of Hybrid Intelligent Systems, April 2016, IOS Press

    PhD. Peter Laurinec

  11. Incremental Ensemble Learning for Electricity Load Forecasting

    Article • Acta Polytechnica Hungarica, February 2016, Obuda University

    PhD. Peter Laurinec

  12. Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning

    Article • November 2015, Springer Science + Business Media

    PhD. Peter Laurinec