Andrea Vitali

Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection

Matteo Matteucci, Alessandro Brusaferri, Pietro Portolani, 2020, 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT).

Goalkeeper’s Performances Assessed with Action Cameras Based Mocap System

Daniele Regazzoni, Filippo Colombo Zefinetti, Andrea Vitali, 2020 .

Probabilistic electric load forecasting through Bayesian Mixture Density Networks pdf

Matteo Matteucci, Alessandro Brusaferri, Stefano Spinelli, 2020, ArXiv.

Probabilistic day-ahead energy price forecast by a Mixture Density Recurrent Neural Network

Matteo Matteucci, Alessandro Brusaferri, Danial Ramin, 2020, 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT).

Day ahead electricity price forecast by NARX model with LASSO based features selection

Lorenzo Fagiano, Matteo Matteucci, Alessandro Brusaferri, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Learning behavioral models by recurrent neural networks with discrete latent representations with application to a flexible industrial conveyor

Matteo Matteucci, Alessandro Brusaferri, Stefano Spinelli, 2020, Comput. Ind..

Extracting finite state representations from recurrent models of Industrial Cyber Physical Systems

Matteo Matteucci, Alessandro Brusaferri, Stefano Spinelli, 2020, 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT).

Electricity Technological Mix Forecasting for Life Cycle Assessment Aware Scheduling

Carlo Brondi, Jonathan Sze Choong Low, Andrea Vitali, 2020 .