Synthetic Models - Humans, Technology, infrastructure, and the Future
Impact data for each residential transformer of electric vehicle adoption response related to incentives for any time of day, month, year for an existing grid
Synthetic Energy presented at CleanTech Asia 2019
RUNWITHIT Synthetic Energy Modelling is a way to expedite infrastructure design, mitigate risks from security and disasters, and make climate-aware decisions for any city in its own bespoke model. This project is supported by the National Research Council of Canada and the Canadian Chair of Intelligent Energy Grid Systems at the University of Alberta.
Synthetic Energy Modelling presented at North51 Connect 2020
Mixing Geospatial Intelligence with Activity-based Intelligence, and bringing it all to life with Agents. RUNWITHIT Synthetics puts the future of a city’s aging energy grid in a live environment with natural disasters, renewables, electric vehicles, and new technologies for consumers, generation and demand response.
Planning for Climate Change
Energy consumption is expected to increase by 50% in the next 30 years.