Articles with public access mandates - Lorenzo ZanniLearn more
Available somewhere: 7
Fault detection and faulted line identification in active distribution networks using synchrophasors-based real-time state estimation
M Pignati, L Zanni, P Romano, R Cherkaoui, M Paolone
IEEE Transactions on power delivery 32 (1), 381-392, 2016
Mandates: Swiss National Science Foundation
Performance assessment of linear state estimators using synchrophasor measurements
S Sarri, L Zanni, M Popovic, JY Le Boudec, M Paolone
IEEE Transactions on Instrumentation and Measurement 65 (3), 535-548, 2016
Mandates: Swiss National Science Foundation
A prediction-error covariance estimator for adaptive Kalman filtering in step-varying processes: Application to power-system state estimation
L Zanni, JY Le Boudec, R Cherkaoui, M Paolone
IEEE Transactions on Control Systems Technology 25 (5), 1683-1697, 2016
Mandates: Swiss National Science Foundation
Probabilistic assessment of the process-noise covariance matrix of discrete Kalman filter state estimation of active distribution networks
L Zanni, S Sarri, M Pignati, R Cherkaoui, M Paolone
2014 International Conference on Probabilistic Methods Applied to Power …, 2014
Mandates: Swiss National Science Foundation
A pre-estimation filtering process of bad data for linear power systems state estimators using PMUs
M Pignati, L Zanni, S Sarri, R Cherkaoui, JY Le Boudec, M Paolone
2014 Power systems computation conference, 1-8, 2014
Mandates: Swiss National Science Foundation
A hardware-in-the-loop test platform for the real-time state estimation of active distribution networks using phasor measurement units
M Paolone, M Pignati, P Romano, S Sarri, L Zanni, R Cherkaoui
Proc. Cigré SC6 Colloquium, 92-97, 2013
Mandates: Swiss National Science Foundation
A hardware-in-the-loop test platform for the performance assessment of a PMU-based real-time state estimator for active distribution networks
S Sarri, M Pignati, P Romano, L Zanni, M Paolone
2015 IEEE Eindhoven PowerTech, 1-6, 2015
Mandates: Swiss National Science Foundation
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