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Smooth nonnegative tensor factorization for multi-sites electrical load monitoring

Abstract : The analysis of load curves collected from smart meters is a key step for many energy management tasks ranging from consumption forecasting to customers characterization and load monitoring. In this contribution, we propose a model based on a functional formulation of nonnegative tensor factorization and derive updates for the corresponding optimization problem. We show on the concrete example of multi-sites load curves disaggregation how this formulation is helpful for 1) exhibiting smooth intraday consumption patterns and 2) taking into account external variables such as the outside temperature. The benefits are demonstrated on simulated and real data by exhibiting a meaningful clustering of the observed sites based on the obtained decomposition.
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Contributeur : Amaury Durand Connectez-vous pour contacter le contributeur
Soumis le : lundi 28 juin 2021 - 16:04:36
Dernière modification le : mardi 19 octobre 2021 - 11:16:31


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  • HAL Id : hal-03167498, version 2
  • ARXIV : 2103.07308



Amaury Durand, François Roueff, Jean-Marc Jicquel, Nicolas Paul. Smooth nonnegative tensor factorization for multi-sites electrical load monitoring. EUSIPCO, Aug 2021, Dublin, Ireland. ⟨hal-03167498v2⟩



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