David Macii

Associate Professor

University of Trento

Italy

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About

David Macii is an Associate Professor at the University of Trento, Italy. His research interests include power quality monitoring, radar data processing, phasor measurement units, and energy management systems, as evidenced by his recent publications. He focuses on advanced algorithms and models to enhance the performance of electrical grids and support the integration of renewable energy sources.

Articles (13)

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2025

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2024

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2022

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2021

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2021

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2021

Collaborators (3)

Mattia Secchi

Technical University of Denmark

DENMARK

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Fabio Bernardini

Associate Prof.

ITALY

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Dario Petri

University of Trento

ITALY

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David Macii

Research Interests

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Articles (13)

Clustering and Fusion of Distributed Multitone Frequency Measurement Data for Enhanced Grid-Level Power Quality Monitoring

A multi-target detection and position tracking algorithm based on mmWave-FMCW radar data

Single-cycle P Class phasor estimation based on harmonics whitening and off-nominal frequency offset adjustment

Smart electric vehicles charging with centralised vehicle-to-grid capability for net-load variance minimisation under increasing EV and PV penetration levels

Enhanced IpD2FT-based Synchrophasor Estimation for M Class PMUs through Adaptive Narrowband Interferers Detection and Compensation

A Tuned Whitening-Based Taylor-Kalman Filter for P Class Phasor Measurement Units

Indoor Localization Uncertainty Control Based on Wireless Ranging for Robots Path Planning

A Flexible Top-Down Data-Driven Stochastic Model for Synthetic Load Profiles Generation

Multi-objective battery sizing optimisation for renewable energy communities with distribution-level constraints: A prosumer-driven perspective

A photovoltaics-aided interlaced extended Kalman filter for distribution systems state estimation

IpDFT-Tuned Estimation Algorithms for PMUs: Overview and Performance Comparison

An Uncertainty-Driven and Observability-Based State Estimator for Nonholonomic Robots

Robot-Based Indoor Positioning of UHF-RFID Tags: The SAR Method With Multiple Trajectories

Collaborators (3)

Mattia Secchi

Fabio Bernardini

Dario Petri

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