A new convolutional neural network-based system for NILM applications F Ciancetta, G Bucci, E Fiorucci, S Mari, A Fioravanti IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 150 | 2020 |
State of art overview of Non-Intrusive Load Monitoring applications in smart grids G Bucci, F Ciancetta, E Fiorucci, S Mari, A Fioravanti Measurement: Sensors 18, 100145, 2021 | 36 | 2021 |
Load identification system for residential applications based on the NILM technique G Bucci, F Ciancetta, E Fiorucci, S Mari 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 18 | 2020 |
A review of non-intrusive load monitoring applications in industrial and residential contexts S Mari, G Bucci, F Ciancetta, E Fiorucci, A Fioravanti Energies 15 (23), 9011, 2022 | 15 | 2022 |
Multi-state appliances identification through a NILM system based on convolutional neural network G Bucci, F Ciancetta, E Fiorucci, S Mari, A Fioravanti 2021 IEEE International Instrumentation and Measurement Technology …, 2021 | 14 | 2021 |
Testing system for the on-site checking of magneto-thermal switches with arc fault detection G Bucci, F Ciancetta, A Fioravanti, E Fiorucci, S Mari, A Prudenzi Energies 13 (18), 4652, 2020 | 14 | 2020 |
Non intrusive electrical load identification through an online SFRA based approach A Fioravanti, A Prudenzi, G Bucci, E Fiorucci, F Ciancetta, S Mari 2020 International Symposium on Power Electronics, Electrical Drives …, 2020 | 13 | 2020 |
Online SFRA for Reliability of Power Systems: Characterization of a Batch of Healthy and Damaged Induction Motors for Predictive Maintenance G Bucci, F Ciancetta, A Fioravanti, E Fiorucci, S Mari, A Silvestri Sensors 23 (5), 2583, 2023 | 11 | 2023 |
Challenge and future trends of distributed measurement systems based on Blockchain technology in the European context G Bucci, F Ciancetta, E Fiorucci, A Fioravanti, A Prudenzi, S Mari 2019 IEEE 10th International Workshop on Applied Measurements for Power …, 2019 | 11 | 2019 |
Measurements for non-intrusive load monitoring through machine learning approaches G Bucci, F Ciancetta, E Fiorucci, S Mari, A Fioravanti Acta IMEKO 10 (4), 90-96, 2021 | 10 | 2021 |
A non-intrusive load identification system based on frequency response analysis G Bucci, F Ciancetta, E Fiorucci, S Mari, A Fioravanti 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2021 | 10 | 2021 |
Deep learning applied to SFRA results: a preliminary study G Bucci, F Ciancetta, E Fiorucci, S Mari, A Fioravanti Proceedings of the 2021 7th International Conference on Computing and …, 2021 | 10 | 2021 |
A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method F Ciancetta, E Fiorucci, A Ometto, A Fioravanti, S Mari, MA Segreto Sensors 21 (3), 754, 2021 | 10 | 2021 |
The measurement of additional losses in induction motors: Discussion about the actually achievable uncertainty G Bucci, F Ciancetta, E Fiorucci, S Mari, MA Segreto Energies 13 (1), 78, 2019 | 9 | 2019 |
An embedded deep learning nilm system: A year-long field study in real houses S Mari, G Bucci, F Ciancetta, E Fiorucci, A Fioravanti IEEE Transactions on Instrumentation and Measurement, 2023 | 7 | 2023 |
An IoT condition monitoring system for resilience based on spectral analysis of vibration G Bucci, F Ciancetta, E Fiorucci, A Fioravanti, A Prudenzi, S Mari 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 38-43, 2020 | 7 | 2020 |
Overview of the Propagation of Supraharmonics in Power Systems A Prudenzi, A Fioravanti, A Silvestri, F Ciancetta, E Fiorucci, S Mari 2022 AEIT International Annual Conference (AEIT), 1-6, 2022 | 6 | 2022 |
A New NILM System Based on the SFRA Technique and Machine Learning S Mari, G Bucci, F Ciancetta, E Fiorucci, A Fioravanti Sensors 23 (11), 5226, 2023 | 4 | 2023 |
The Effects of LED Lamps Emissions on PLC: A Preliminary Study in a Realistic Scenario G Bucci, F Ciancetta, A Fioravanti, E Fiorucci, C Landi, M Luiso, S Mari, ... 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2022 | 4 | 2022 |
Advanced architecture for training and testing NILM systems S Mari, G Bucci, F Ciancetta, E Fiorucci, A Fioravanti 2022 IEEE International Instrumentation and Measurement Technology …, 2022 | 4 | 2022 |