Pablo Montero-Manso

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Predict+Optimize Problem in Renewable Energy Scheduling.
IEEE Access
Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
2025 J jnl
Time series clustering based on prediction accuracy of global forecasting models.
Knowl. Based Syst.
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar
2023 J jnl
Time series clustering based on prediction accuracy of global forecasting models.
CoRR
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández
2022 — conf
Clustering of Time Series Based on Forecasting Performance of Global Models.
AALTD@ECML/PKDD
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar
2022 J jnl
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
2022 J jnl
FRANS: Automatic Feature Extraction for Time Series Forecasting.
CoRR
Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir
2021 J jnl
A Look at the Evaluation Setup of the M5 Forecasting Competition.
CoRR
Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman
2021 J jnl
A first perturbome of
Biosyst.
Jose Arturo Molina-Mora, Pablo Montero-Manso, Raquel García-Batán, Rebeca Campos-Sánchez, Jose Vilar-Fernández, Fernando García
2021 — conf
Monash Time Series Forecasting Archive.
NeurIPS Datasets and Benchmarks
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
2021 J jnl
Monash Time Series Forecasting Archive.
CoRR
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
2020 J jnl
A Strong Baseline for Weekly Time Series Forecasting.
CoRR
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso
2020 J jnl
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality.
CoRR
Pablo Montero-Manso, Rob J. Hyndman
2019 J jnl
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci.
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
2019 J jnl
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances.
Stat. Anal. Data Min.
Pablo Montero-Manso, José Antonio Vilar