| Advanced spatial modeling with stochastic partial differential equations using R and INLA E Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ... Chapman and Hall/CRC, 2018 | 230 | 2018 |
| Benefits of spatiotemporal modeling for short‐term wind power forecasting at both individual and aggregated levels A Lenzi, I Steinsland, P Pinson Environmetrics 29 (3), e2493, 2018 | 28 | 2018 |
| Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data A Lenzi, P Pinson, LH Clemmensen, G Guillot Stochastic Environmental Research and Risk Assessment 31, 1615-1631, 2017 | 17 | 2017 |
| Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh–Nagumo ODE J Rudi, J Bessac, A Lenzi Mathematical and Scientific Machine Learning, 781-808, 2022 | 12 | 2022 |
| Neural networks for parameter estimation in intractable models A Lenzi, J Bessac, J Rudi, ML Stein arXiv preprint arXiv:2107.14346, 2021 | 7 | 2021 |
| Very short-term spatio-temporal wind power prediction using a censored Gaussian field A Baxevani, A Lenzi Stochastic environmental research and risk assessment 32, 931-948, 2018 | 7 | 2018 |
| Improving Bayesian Local Spatial Models in Large Datasets A Lenzi, S Castruccio, H Rue, MG Genton Journal of Computational and Graphical Statistics 30 (2), 349-359, 2020 | 6 | 2020 |
| Analysis of aggregated functional data from mixed populations with application to energy consumption A Lenzi, CPE de Souza, R Dias, NL Garcia, NE Heckman Environmetrics 28 (2), e2414, 2017 | 4 | 2017 |
| Spatio-temporal cross-covariance functions under the Lagrangian framework with multiple advections MLO Salvaña, A Lenzi, MG Genton Journal of the American Statistical Association, 1-16, 2022 | 3 | 2022 |
| Power grid frequency prediction using spatiotemporal modeling A Lenzi, J Bessac, M Anitescu Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (6 …, 2021 | 3 | 2021 |
| Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia A Lenzi, MG Genton | 2 | 2020 |
| Spatio-temporal modelling for short term wind power forecasts. Why, when and how. A Lenzi, I Steinsland, P Pinson EGU General Assembly Conference Abstracts, 3633, 2017 | 2 | 2017 |
| Detecting Large Frequency Excursions in the Power Grid With Bayesian Decision Theory A Lenzi, J Bessac, M Anitescu IEEE Open Access Journal of Power and Energy 9, 66-75, 2022 | 1 | 2022 |
| A spatial model for the instantaneous estimation of wind power at a large number of unobserved sites A Lenzi, G Guillot, P Pinson Procedia Environmental Sciences 26, 131-134, 2015 | 1 | 2015 |
| Lenzi A Lenzi, I Steinsland, P Pinson Benefits of spatio-temporal modelling for short term wind power forecasting …, 0 | 1 | |
| How statistics keeps the lights on A Lenzi, M Anitescu Significance 19 (6), 28-30, 2022 | | 2022 |
| Supplementary Material for: Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections MLO Salvana, A Lenzi, MG Genton | | 2022 |
| Statistical modelling of space-time processes with application to wind power A Lenzi DTU Compute, 2017 | | 2017 |
