Modélisation inverse grise de l’état thermique et de la charge de chauffage d’un bâtiment résidentiel

Les mesures de stations météo et d’équipements intelligents sont de plus en plus disponibles. Ces mesures permettent de caractériser le lien entre les conditions météo, les habitudes des occupants et la consommation d’énergie. La meilleure connaissance de ce lien contribue au développement d’outils permettant d’anticiper la consommation d’énergie. Un réalisme accru de prévision permettrait à Hydro-Québec d’entrevoir d’autres méthodes pour gérer son réseau, évaluer ses programmes ou planifier ses activités.

Faculty Supervisor:

Kodjo Agbossou

Student:

Partner:

Hydro-Quebec (Shawinigan, QC)

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

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