Expanding and Enhancing Awesense’s Digital Twin Sandbox to Support the Clean Energy Transition

Awesense is a clean tech company on a mission to accelerate the transition to clean energy by simplifying the creation of data-driven applications for a decarbonized, decentralized grid. To enable the complex planning and operational decisions required by distributed energy resources (e.g., solar, wind, batteries, EVs), Awesense developed its Digital Energy Platform. This platform allows utilities, consulting firms, and software vendors to rapidly prototype decision-support analytics without repeatedly integrating data. Utilities integrate once and can then easily add multiple platform-compatible applications.

Because this represents a departure from the traditional, siloed approach utilities have used for analytics, Awesense must make compelling demonstrations of the platform’s capabilities. To that end, they created a sandbox environment with synthetic yet realistic data. Potential clients can explore the platform’s capabilities hands-on, while existing clients can speed up analytics development by testing new solutions before their real data is integrated.

Currently, the sandbox is limited in size and lacks several data features, restricting the range of possible use cases. For this MITACS BSI internship, Awesense is looking for an intern to help expand and enrich this synthetic dataset, and then develop more proof-of-concept use cases on top of it. These enhancements will showcase the full power of the Digital Energy Platform and support broader adoption.

Faculty Supervisor:

Robert J. McCann

Student:

Partner:

Awesense

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Toronto

Program: