34 citations · 45 across the 3 of their papers we have counts for
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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★ 11 cited
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…