Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 33o ciclo (2017-2020)
Dottorato concluso nel 2021
Tesi:
Nuovi Strumenti per la Modellazione e Simulazione di Reti di Distribuzione dell'Energia Elettrica. (Abstract)
Tutori:
Igor Simone Stievano Flavio Canavero
Presentazione della ricerca:
Presentazione video PosterProfilo
Argomento di ricerca
Strumenti di modellazione per la valutazione della resilienza di reti di distribuzione dell'energia
Interessi di ricerca
Biografia
He was an exchange student at St. Cloud State University, Minnesota, USA on Fulbright Undergraduate Exchange Program and Frederick University Cyprus on Erasmus Mobility during his Bachelors and Masters respectively.
Completed Master’s Thesis from Frederick University, Cyprus
Currently pursuing PhD at Politecnico Di Torino, Italy, since 2017, working on the development of novel modeling concepts of resilience assessment of next generation power networks. The research activity is being jointly carried out with partner institute Xian Jiaotong University, Xian China, for 18 months mobility period and is supported by “The Joint Project with Top Universities”.
During this mobility, worked as Research Fellow for two months at the State Grid simulation center of China Electric Power Research Institute (CEPRI).
Received Best Student Paper Award for his work on “Machine Learning for the Uncertainty Quantification of Power Networks” at 6th IEEE GEMCCON 2020.
Key Research Areas:
Power Distribution Networks
Uncertainty Quantification of Power Networks
Load flow solutions and Statistical assessment of power networks
Modelling Next Generation Grid Systems.
Premi e riconoscimenti
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Memon, ZAIN ANWER (2021)
Novel Modeling and Simulation Concepts for Power Distribution Networks. relatore: STIEVANO, IGOR SIMONE; CANAVERO, Flavio; , 33. XXXIII Ciclo, P.: 114
Doctoral Thesis - Memon, ZAIN ANWER; Trinchero, Riccardo; Manfredi, Paolo; Canavero, Flavio; Stievano, ... (2020)
Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks. In: ENERGIES, vol. 13. ISSN 1996-1073
Contributo su Rivista - Memon, ZAIN ANWER; Trinchero, Riccardo; Xie, Yanzhao; Canavero, Flavio G.; Stievano, ... (2020)
An Iterative Scheme for the Power-Flow Analysis of Distribution Networks based on Decoupled Circuit Equivalents in the Phasor Domain. In: ENERGIES, vol. 13. ISSN 1996-1073
Contributo su Rivista