Lorenzo Nespoli

Lorenzo Nespoli has a diverse background in research, specializing in the development of neural controllers, neural simulators, data-efficient forecasts, and decentralized control algorithms for distributed controllable loads. With experience in residential load and PV power forecasting, distributed control algorithms, and multiphysics system modeling, Lorenzo has honed their skills in the energy engineering field. With a Doctor of Philosophy degree from EPFL and a Master's degree from Politecnico di Milano, Lorenzo continues to make significant contributions in the field of energy engineering and research.