A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand

Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02051183
Contributor : Julien Jacques <>
Submitted on : Wednesday, February 27, 2019 - 3:46:13 PM
Last modification on : Wednesday, April 3, 2019 - 1:13:05 AM

Identifiers

  • HAL Id : hal-02051183, version 1

Collections

Citation

Francisco Martínez-Álvarez, Amandine Schmutz, Gualberto Asencio-Cortés, Julien Jacques. A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand. Energies, MDPI, 2019, 12 (1), pp.94. ⟨hal-02051183⟩

Share

Metrics

Record views

24