Alice La Fata received her Ph.D. in Sciences and Technologies for Electrical Engineering and Complex Systems for Mobility in 2025 from the University of Genoa. She completed the M.Sc. in Energy Engineering in the same institution in 2016. Currently, she is a research fellow at the Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture at the University of Genoa.
Her research focuses on the development of pattern recognition algorithms for applications in the power systems domain. She has designed models for nowcasting renewable energy production and for estimating bidding strategies in electricity markets. Additionally, she has contributed to the development of energy management systems aimed at optimizing dispatch strategies for microgrids and polygenerative plants.
Her work also extends to the field of lightning protection. In particular, she has implemented an approach that combines pattern recognition techniques with the traditional Monte Carlo method to assess the lightning performance of distribution lines. Moreover, she has developed models based on pattern recongition techniques for nowcasting lightning activity, exploring its potential as an early indicator of extreme weather events.
She currently works for the PRIN project P2022R3L83, funded by the Italian Ministry of Education, University, and Research. Her work in this project focuses on battery energy management systems.
Alice La Fata received her Ph.D. in Sciences and Technologies for Electrical Engineering and Complex Systems for Mobility in 2025 from the University of Genoa. She completed the M.Sc. in Energy Engineering in the same institution in 2016. Currently, she is a research fellow at the Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture at the University of Genoa.
Her research focuses on the development of pattern recognition algorithms for applications in the power systems domain. She has designed models for nowcasting renewable energy production and for estimating bidding strategies in electricity markets. Additionally, she has contributed to the development of energy management systems aimed at optimizing dispatch strategies for microgrids and polygenerative plants.
Her work also extends to the field of lightning protection. In particular, she has implemented an approach that combines pattern recognition techniques with the traditional Monte Carlo method to assess the lightning performance of distribution lines. Moreover, she has developed models based on pattern recongition techniques for nowcasting lightning activity, exploring its potential as an early indicator of extreme weather events.
She currently works for the PRIN project P2022R3L83, funded by the Italian Ministry of Education, University, and Research. Her work in this project focuses on battery energy management systems.