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2020 – today
- 2020
[i1]Andrea Fronzetti Colladon
, Stefano Grassi, Francesco Ravazzolo, Francesco Violante:
Forecasting financial markets with semantic network analysis in the COVID-19 crisis. CoRR abs/2009.04975 (2020)
2010 – 2019
- 2015
- [c4]Fabio Veronesi, Stefano Grassi, Martin Raubal, Lorenz Hurni:
Statistical Learning Approach for Wind Speed Distribution Mapping: The UK as a Case Study. AGILE Conf. 2015: 165-180 - [c3]Giuseppe Roberto Marseglia, A. Arbasini, Stefano Grassi, Martin Raubal, Davide Martino Raimondo:
Optimal placement of wind turbines on a continuous domain: An MILP-based approach. ACC 2015: 5010-5015 - 2014
- [j2]Stefano Grassi, Tommaso Proietti:
Characterising economic trends by Bayesian stochastic model specification search. Comput. Stat. Data Anal. 71: 359-374 (2014) - [j1]Stefano Grassi, Paolo Santucci de Magistris:
When long memory meets the Kalman filter: A comparative study. Comput. Stat. Data Anal. 76: 301-319 (2014) - [c2]Stefano Grassi, Roman Friedli, Michel Grangier, Martin Raubal:
A GIS-Based Process for Calculating Visibility Impact from Buildings During Transmission Line Routing. AGILE Conf. 2014: 383-402 - 2013
- [c1]Stefano Grassi:
Integrated Spatial Optimization Model for Re-newable Energy Planning. AGILE PhD School 2013
Coauthor Index
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