Lenzi, Amanda

Postdoctoral Fellows
Ph.D. 2017, Technical University of Denmark​​

Research Interests

​​Spatio-temporal statistics, Probabilistic forecasting, Wind forecasting​​

Selected Publications

- Lenzi, A., Steinsland, I., Pinson, P. (2017). "Benefits of spatio-temporal modelling for short term wind power forecasting at both individual and aggregated levels". Submitted to Environmetrics (under review and available at 
- Baxevani, A., Lenzi, A. (2017). "Very short-term spatio-temporal wind power prediction using a censored Gaussian field". Stoch Environ Res Risk Assess DOI 10.1007/s00477-017-1435-7 
- Lenzi A., de Souza C. P. E., Dias R., Garcia N., Heckman N. E. (2017). "Analysis of aggregated functional data from mixed populations with application to energy consumption". Environmetrics, 2017, volume 28, issue 2. 
- Lenzi, A., Pinson, P., Clemmensen, L. H., Guillot, G. (2016). "Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data". Stoch Environ Res Risk Assess DOI 10.1007/s00477-016-1329-0, pp. 1-17 
- Lenzi, A., Guillot, G., Pinson, P. (2015). A spatial model for the instantaneous estimation of wind power at a large number of unobserved sites. Procedia Environmental Sciences, vol. 26, pp. 131-134


​​Ph.D. in Statistics, 2017, Technical University of Denmark, Denmark 
M.S. in Statistics, 2013, University of Campinas, Brazil 
B.S. in Statistics, 2010, University of Campinas, Brazil​​