Forecasting functional time series with a new Hilbertian ARMAX model: Application to electricity price forecasting JP González, AM San Roque, EA Perez IEEE Transactions on Power Systems 33 (1), 545-556, 2017 | 163 | 2017 |
NeuralSens: sensitivity analysis of neural networks J Pizarroso Gonzalo, J Portela González, A Muñoz San Roque | 83 | 2022 |
Strategic bidding in secondary reserve markets FA Campos, AM San Roque, EF Sánchez-Úbeda, JP González IEEE Transactions on Power Systems 31 (4), 2847-2856, 2015 | 43 | 2015 |
Residual demand curves for modeling the effect of complex offering conditions on day-ahead electricity markets JP González, AM San Roque, EF Sánchez-Úbeda, J Garcia-Gonzalez, ... IEEE Transactions on Power Systems 32 (1), 50-61, 2016 | 28 | 2016 |
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 | 24 | 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 | 24 | 2020 |
ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Task R Martínez-Cruz, AJ López-López, J Portela arXiv preprint arXiv:2304.14177, 2023 | 15 | 2023 |
Impact of COVID-19 on electricity demand of Latin America and the Caribbean countries EF Sánchez-Úbeda, J Portela, A Muñoz, EC Montuenga, M Hallack Sustainable Energy, Grids and Networks 30, 100610, 2022 | 12 | 2022 |
Early market efficiency testing among hydrogen players TC Santamaría, K Martin-Bujack, J Portela, R Sáenz-Diez International Review of Economics & Finance 82, 723-742, 2022 | 5 | 2022 |
Optimization of the bidding curve in reserve markets FA Campos, AM San Roque, EF Sanchez-Ubeda, J Portela, ... 2013 10th International Conference on the European Energy Market (EEM), 1-6, 2013 | 5 | 2013 |
Metric Tools for Sensitivity Analysis with Applications to Neural Networks J Pizarroso, D Alfaya, J Portela, A Muñoz arXiv preprint arXiv:2305.02368, 2023 | 4 | 2023 |
Monitoring the green transition in the power sector with the electricity generation emissions (EGE) tracker J Portela, D Roch-Dupré, IFF Garrigues, C Yéboles, A Salazar Energy Strategy Reviews 50, pp. 101236-1 - 101236-15,, 2023 | 2 | 2023 |
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings R Martínez-Cruz, D Mahata, AJ López-López, J Portela arXiv preprint arXiv:2305.09316, 2023 | 2 | 2023 |
Decision Tree Tool for Auditors’ Going Concern Assessment in Spain CB Custodio, Y Gu, JP González The International Journal of Digital Accounting Research 22 (28), 193-226, 2022 | 1* | 2022 |
Functional time series forecasting in electricity markets: a novel parametric approach J Portela González | 1 | 2017 |
Machine Learning–Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study C Alvarez-Romero, A Polo-Molina, EF Sánchez-Úbeda, ... JMIR Formative Research 8 (1), e52344, 2024 | | 2024 |
White noise testing for functional time series. Application to model identification and diagnosis G Mestre Marcos, J Portela González, A Muñoz San Roque, ... | | 2018 |
101 preguntas de modelos cuantitativos para la economía y la empresa (y sus respuestas) J Portela González, A Rúa Vieites EV Services (Madrid, España), 2018 | | 2018 |
Forecasting functional time series in electricity markets with a seasonal ARIMAX Hilbertian model J Portela González, A Muñoz San Roque, E Alonso Pérez | | 2016 |
Forecasting residual demand curves of the day-ahead electricity market with a Hilbertian ARMAX model J Portela González, A Muñoz San Roque, E Alonso Pérez | | 2016 |