Functional time series model identification and diagnosis by means of auto-and partial autocorrelation analysis G Mestre, J Portela, G Rice, AM San Roque, E Alonso Computational statistics & data analysis 155, 107108, 2021 | 21 | 2021 |
Forecasting hourly supply curves in the Italian Day-Ahead electricity market with a double-seasonal SARMAHX model G Mestre, J Portela, AM San Roque, E Alonso International Journal of Electrical Power & Energy Systems 121, 106083, 2020 | 21 | 2020 |
Exploiting graphlet decomposition to explain the structure of complex networks: the GHuST framework R Espejo, G Mestre, F Postigo, S Lumbreras, A Ramos, T Huang, ... Scientific reports 10 (1), 12884, 2020 | 12 | 2020 |
The arithmetic of stepwise offer curves G Mestre, EF Sánchez-Úbeda, AM San Roque, E Alonso Energy 239, 122444, 2022 | 3 | 2022 |
Probabilistic Forecasting of Functional Time Series: Application to Scenario-Generation of Residual Demand Curves in Electricity Markets G Mestre Marcos | | 2021 |
Functional time series identification and diagnosis by means of autocorrelation analysis G Mestre Marcos, J Portela González, G Rice, A Muñoz San Roque, ... | | 2019 |
White noise testing for functional time series. Application to model identification and diagnosis G Mestre Marcos, J Portela González, A Muñoz San Roque, ... | | 2018 |