research
∙
02/08/2023
Structural hierarchical learning for energy networks
Many sectors nowadays require accurate and coherent predictions across t...
share
research
∙
01/30/2023
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads
Optimal decision-making compels us to anticipate the future at different...
research
∙
02/21/2022
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets
In many applications, e.g. fault diagnostics and optimized control of su...
research
∙
09/27/2021
onlineforecast: An R package for adaptive and recursive forecasting
Systems that rely on forecasts to make decisions, e.g. control or energy...
research
∙
03/10/2020
