Unveiling OpenEEmeter 4.0

LF Energy

Mar 12, 5:30 – 6:30 PM (UTC)

75 RSVPs

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About this event

LF Energy OpenEEmeter measures the energy impacts of demand-side interventions in buildings. OpenEEmeter 4.0 provides enhanced performance of the daily model with dramatically reduced seasonal and weekend/weekday bias, along with increased computational efficiency.

This webinar will explore how OpenEEMeter:

  • Reduces seasonal bias in the daily model by 84%
  • Reduces weekend/weekday bias in the daily model by 95%
  • Runs up to 100x faster with monthly data, and 2 - 10x faster with daily data

Along with this release, the OpenEEMeter community is also publishing a detailed 4.0 model specification and results of thorough testing conducted across residential and commercial sectors and gas and electric fuels.  

Speakers

  • Adam Scheer

    Recurve

    Vice President of Applied Data Science

  • Travis Sikes

    Recurve

    Data Science Manager

  • Jason Chulock

    Recurve

    Lead Engineer

Partner

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