-
, spatial, and infrastructural constraints. The work aims to identify feasible operating patterns for electricity and heating systems at the district and urban scale, and to study how spatial characteristics
-
, storage, and local electricity grids. A key goal is to translate methodological innovations in deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting
Enter an email to receive alerts for electrical-"https:" positions