- Thomas Dandres, Ana Carolina Riekstin, Antoine Langevin, Julien Walzberg, Mohamed Cheriet
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.
electricity consumers, developers of electricity policies (energy efficiency, side demand management programs, etc.)
- Key Inputs
real-time and historical power generation, electricity import and electricity export data from the grid
- Key Outputs
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)
|Thomas Dandres||Hydro-Québec / Polytechnique Montreal / École de technologie supérieure|