Research output per year
Research output per year
Personal profile
Academic background
Jacopo De Stefani is a Lecturer at Delft University of Technology, Faculty Technology Policy and Management, Section Information and Communication Technology.
Research profile
His research focuses on time series analysis with machine learning techniques, with specific interest in computational efficiency and interpretability. He holds two M.Sc. from Politecnico di Milano and Université Libre de Bruxelles (ULB) in Engineering of Computing Systems and a Ph.D in Machine Learning from ULB (MLG-ULB).
Research interests
Time series analysis
Performance scalability
Data visualization
Computational cost – Forecast quality tradeoff
Large scale (Big Data) processing technologies
Deep learning
IoT
Sustainable IT
Open data/Open code/Open science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctorate, Universite' Libre de Bruxelles (ULB)
Award Date: 25 Feb 2022
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A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines
Paldino, G. M., De Caro, F., De Stefani, J., Vaccaro, A., Villacci, D. & Bontempi, G., 2022, In: Energies. 15, 6, 2254.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)26 Downloads (Pure) -
Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series
De Stefani, J. & Bontempi, G., 2021, Frontiers Media.Research output: Other contribution › Scientific
2 Citations (Scopus) -
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting
De Stefani, J., Le Borgne, Y-A., Caelen, O., Hattab, D. & Bontempi, G., 2019, In: International Journal of Data Science and Analytics. 7, 4, p. 311-329 19 p.Research output: Contribution to journal › Article › Scientific › peer-review
11 Citations (Scopus)