A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand
Martínez-Álvarez, F.; Schmutz, A.; Asencio-Cortés, G.; Jacques, J. A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand. Energies 2019, 12, 94. https://doi.org/10.3390/en12010094
Martínez-Álvarez F, Schmutz A, Asencio-Cortés G, Jacques J. A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand. Energies. 2019; 12(1):94. https://doi.org/10.3390/en12010094
Chicago/Turabian StyleMartínez-Álvarez, Francisco, Amandine Schmutz, Gualberto Asencio-Cortés, and Julien Jacques. 2019. "A Novel Hybrid Algorithm to Forecast Functional Time Series Based on Pattern Sequence Similarity with Application to Electricity Demand" Energies 12, no. 1: 94. https://doi.org/10.3390/en12010094