1. Stem’s system delivers cost savings using data, analytics, and energy storage at the historic InterContinental Mark Hopkins and LEED Gold Certified InterContinental San Francisco hotels. Stem’s solution was installed in November 2012 and immediately began leveraging the proprietary combination of big data, predictive analytics and energy storage to effectively “hybridize” the hotels by intelligently switching between battery power and grid power to reduce energy costs.

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  2. The Stem system stores energy during non-peak demand hours for use during expensive peak demand hours, helping companies slash their demand charges on electric bills. Additionally, installation and run-time require zero operational changes. Learn more by visiting stem.com.

    # vimeo.com/76362710 Uploaded
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  4. Escondido Schools adopted energy storage to save on rapidly rising demand charges—the fees for power used during the schools’ peak times (measured in kW). These costs make up more than half the total electric bill and cannot be solved with energy efficiency or solar. Stem’s AI, Athena, automatically optimizes the timing of energy use to generate substantial savings for the school without any effort or temperature discomfort for students and teachers.

    # vimeo.com/253839787 Uploaded

Stem

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The Stem solution stores energy during non-peak hours for use during expensive peak hours, helping companies slash their energy costs. The beauty of the Stem system is that it doesn’t require behavior changes or reductions in electricity usage to achieve…


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The Stem solution stores energy during non-peak hours for use during expensive peak hours, helping companies slash their energy costs. The beauty of the Stem system is that it doesn’t require behavior changes or reductions in electricity usage to achieve savings. It simply shifts when companies draw electricity from the grid, allowing them to focus on their core business.

Stem integrates data from various sources and applies machine learning to provide highly precise energy usage forecasts. The system reduces energy costs by routing stored energy as needed to avoid peak demand charges. Stem's visualizations enable energy managers to understand the relationship between electricity usage and cost.

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