Stanford researchers have developed a software platform featuring an integrated digital twin framework to enable 24/7, carbon-free operations of electric vehicle (EV) fleets.
Stanford researchers in the WE3 and S3 Labs developed software for biogas modeling suitable for real-time, co-digestion forecasting control for waste streams with widely varying biodegradability rates.
Stanford researchers in the WE3 and S3 Labs developed a cloud-based computation and predictive control platform for wastewater treatment facilities energy storage and energy generation. Wastewater treatment is energy and cost intensive.
Researchers at Stanford have developed a cloud-based behind-the-meter (BTM) system that can cut energy costs and reduce reliance on the grid close to 93% respectively.
A team of Stanford researchers has developed ReMatch, an efficient, data-driven DER (distributed energy resources) planning and decision support framework that accounts for a range of complexities to optimize energy resource planning.
Stanford researchers have developed a low-cost, efficient, and reliable market platform system to monetize underutilized distribution system assets called Automatic Power Exchange (APEX).
Stanford researchers have designed a capacitively coupled electrostatic device (CCED) for measuring high voltage. The CCED is compact, low cost, safe, easy to use, accurate, and actively calibrated.
Stanford researchers have developed an architecture and control scheme for the coordination of distributed energy resources (DER), such as solar and storage, to minimize operation cost, enhance network reliability, and provide DER aggregation.