The rapid growth of AI is projected to push global data center power demand to 2,200 terawatt-hours (TWh) by 2030, an "always-on" load that threatens to overwhelm the world's aging electrical grids.
During this time, smart meters were becoming more widespread, which gave us the insights to make realistic modeling assumptions for the distribution system. As a result, we created PyDSS, the Python ...
There is the economy you see on the screen. And then there is the economy that runs the screen. For the last few years, the screen has been winning. We have been living in a "Zero Marginal Cost" ...
Abstract: Due to the high penetration of distributed energy resources (DERs) in the distribution system, there is an increasing need for advanced tools to thoroughly study the impacts of DERs on ...
Abstract: This article presents a controller hardware-in-the-loop (CHIL) validation of a novel energy storage management (ESM) solution designed to optimize the use of grid-connected distributed ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
As more distributed energy resources (DERs) come online, utilities will face new grid impact challenges. New solutions can help optimize the control of DERs while reducing capacity issues and ...
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