GHG Projections for smart homes

Projet de modélisation

Références

Développeur(s)
Thomas Dandres, Ana Carolina Riekstin, Antoine Langevin, Julien Walzberg, Mohamed Cheriet

Description

It is a time series approach to predict GHG emissions to be integrated into smart home management systems. This model forecasts in real-time, usually using a hourly granularity. It can encompass an entire power grid system.

Utilisateurs

electricity consumers, developers of electricity policies (energy efficiency, side demand management programs, etc.)

Intrants clés

real-time and historical power generation, electricity import and electricity export data from the grid

Extrants clés

advice to reduce emissions from power consumption (by scheduling electricity consumption during the next upcoming hours), real-time and historical emission factors (to improve the calculation of electricity emissions)

Développeurs répertoriés

NomOrganisation
Thomas DandresHydro-Québec / Polytechnique Montreal / École de technologie supérieure