OpenEEmeter Technical Working Group Meeting | January 17, 2023
Recording of the January 17, 2023 OpenEEmeter Technical Working Group meeting.
Working Group Updates🔗
OpenEEmeter Technical Working Group Meeting | December 6, 2022
Recording of the December 6, 2022 OpenEEmeter Technical Working Group meeting.
CalTRACK 2.1 | OpenEEmeter Kick-Off
Recap of the CalTRACK 2.1 and OpenEEmeter kick-off meeting on November 22, 2022, launching the working group effort to improve model bias and computational efficiency.
CalTRACK 2.1 Working Group Kick-Off 2022
LF Energy and the OpenEEmeter project team re-launch the CalTRACK working group to incorporate updates to the methods and code and formally enfold CalTRACK under the OpenEEmeter project umbrella.
LF Energy Webinar on the OpenEEmeter
Phil Ngo, Director of Engineering at Recurve, provides insights into the OpenEEmeter and EEweather open source implementation of CalTRACK Methods in LF Energy.
Webinar: Getting Going with CalTRACK
Announcement for a free one-hour CalTRACK training webinar covering the origin of the methods, appropriate application, and how to validate a compliant tool or approach.
Energy Market Methods Consortium (EM2) Kickoff
CalTRACK and the OpenEEmeter migrate to new governance structures under the Linux Foundation, launching the Energy Market Methods Consortium (EM2) with three working groups covering avoided energy use, grid integration, and secure data transfer.
Working Group Finalizes Hourly Method
The final CalTRACK 2.0 working group meeting recaps hourly methods updates including 3-month weighted baselines, reviews the four major tasks completed during CalTRACK 2.0, and previews the CalTRACK 3.0 sandbox on GitHub.
Valuation Approaches in the CalTRACK Methods
CalTRACK working group explores how hourly savings can be valued using constant, step, avoided cost, and avoided energy valuation methods, and compares outcomes across home performance, lighting, and load shifting scenarios.
Hourly Methods for Pay for Performance
CalTRACK working group validates the Time-of-Week and Temperature model for residential buildings, finds evidence of overfitting with monthly regression, and recommends a three-month weighted regression approach for hourly methods.