3 papers
eess.SY2023
Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities
Julien Leprince, Amos Schledorn, Daniela Guericke +3
To meet carbon emission reduction goals in line with the Paris agreement, planning resilient and sustainable energy systems has never been more important. In the building sector, p…
cs.LG2023
Structural hierarchical learning for energy networks
Julien Leprince, Waqas Khan, Henrik Madsen +2
Many sectors nowadays require accurate and coherent predictions across their organization to effectively operate. Otherwise, decision-makers would be planning using disparate views…
cs.LG2023
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads
Julien Leprince, Henrik Madsen, Jan Kloppenborg Møller +1
Optimal decision-making compels us to anticipate the future at different horizons. However, in many domains connecting together predictions from multiple time horizons and abstract…