Shifted Energy
IT Services and IT ConsultingView the employees at
Shifted Energy-
Joe Van den Berg Trusted Advisor to CEOs & Boards | Emerging & Disruptive Technology | Strategic Planning and Investments
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Washington DC-Baltimore Area
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Top 5%
Justin Miller Senior Software Engineer at Shifted Energy-
Honolulu, Hawaii, United States
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Rising Star
Khaled Ghamgui Software Engineer Student-
Baltimore, Maryland, United States
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Rising Star
Nicole Brodie Prioritizing People & the Planet-
Honolulu County, Hawaii, United States
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Rising Star
Matthew Rogers Software Engineer | Back-End Developer | Python | SQL | JS-
Berkeley, California, United States
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Rising Star
Overview
Shifted Energy was formed in 2016 to focus on the integration of renewables through equitable transformation. We’ve developed, tested and perfected our patent pending solutions to help utilities throughout the world stabilize their grids while accelerating the integration of intermittent wind and solar power generation. Crucially, our platform engages hard-to-reach communities who can’t access rooftop solar by targeting renters. Shifted Energy provides the link between disparate populations, so we can all work together to build a sustainable future. Shifted Energy supports utilities and consumers through the deployment of low-cost distributed energy resource control systems and monitoring, machine learning-based data analytics, aggregation, and dispatch optimization software. Shifted Energy’s software platform converts fleets of electric water heaters, pool pumps, home batteries, solar inverters, and EV charging stations into smart, flexible distributed energy resources capable of providing multiple grid services without sacrificing customer comfort. Our technology is used to retrofit behind-the-meter assets enabling cost-effective, large-scale deployment that improves the end-user experience and reduces program maintenance and support requirements. Our software is integrated with any cloud-connected smart device and uses machine learning to forecast and maximize grid service capacity from every participating asset while minimizing impacts to participating families’ typical use of the managed appliance. Individual forecasts are then aggregated and optimized as a fleet in a cloud-based, asset-agnostic virtual power plant.
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