Login / Signup
Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption.
Peter Laurinec
Marek Lóderer
Mária Lucká
Viera Rozinajová
Published in:
J. Intell. Inf. Syst. (2019)
Keyphrases
</>
ensemble learning
machine learning algorithms
electricity consumption
clustering algorithm
expert systems
machine learning methods
high dimensional
prediction accuracy
benchmark datasets