Real-world distribution grid data is often messy, slow to gather, and incomplete. To operate a more distributed grid, utilities need to bridge these gaps and pursue a robust data landscape.
Hear from Google pioneer and distributed systems expert Astrid Atkinson on how utilities can leverage existing data to create real-time visibility for more complex grid operations.
Leading the charge towards a community-centric grid, Camus Energy secures $16M Series A to advance real-time utility operations
The technology to create virtual power plants made up of distributed energy resources (DERs) is here. They can replace conventional, fossil-fueled power plants and enable a cleaner, cheaper and more resilient grid.
When we started Camus, one of our goals was to contribute our software expertise to the most important problem of our lifetimes. We know that technology can be a powerful enabler for change, and we wanted to bring best practices from the software industry into the grid sector.
At Google I helped define a distributed computing approach which scaled us more than 10,000x. As the grid makes a similar jump, from 1000s of reliable generators to millions of unreliable participants, what can we learn?
We just finished sharing thoughts on large scale monitoring and telemetry with MISO, and I wanted to share a few reflections on applying lessons from internet scale systems to managing the electrical grid.
These are strange times; due to covid-19 the Bay Area went under a “shelter in place” order at midnight. Like all local companies, we at Camus Energy are managing through this, and we wanted to share a little of how we are thinking about that.
Building these systems is hard, and there’s not a good name for it (we’d call it “distributed systems engineering”). It is the model that the cloud was built to enable, and it’s a fundamental shift from the way that software worked before.