CalTRACK working group reviews three methods for calculating portfolio-level hourly energy savings — constant marginal pricing, static peak pricing, and real-time pricing — and plans empirical testing for common use cases.
CalTRACK working group examines the challenges of aggregating building-level hourly savings into portfolio load shapes, comparing vertical and horizontal roll-up approaches and their tradeoffs between uncertainty and information granularity.
CalTRACK working group finalizes site-specific hourly methods including temperature bins, data sufficiency by coverage, and LBNL's occupancy algorithm, then begins discussion on aggregating hourly savings into portfolio load shapes.
CalTRACK working group reviews the Time-of-Week and Temperature (TOWT) model from Lawrence Berkeley National Lab as the specification for CalTRACK 2.0 hourly methods, covering its strengths, weaknesses, and application to site-specific hourly savings.
CalTRACK working group discusses hourly methods proposals covering data sufficiency, the TOWT modeling approach with occupancy and temperature covariates, use case uncertainty, and a restructured documentation plan for CalTRACK 2.0.
CalTRACK working group continues discussion of hourly methods, with test results for hourly methods to be analyzed on GitHub and a standing meeting scheduled for May 3rd.
CalTRACK working group begins hourly methods discussion, introducing the Time of Week and Temperature (TOWT) model from LBNL and identifying key topics for empirical testing including data sufficiency, model selection, and portfolio uncertainty.
CalTRACK working group finalizes building qualification recommendations based on use case, then pivots to hourly methods with an overview of the TOWT and ECAM models and key discussion topics for the coming weeks.
CalTRACK working group continues building qualification criteria discussions and introduces hourly methods, highlighting the TOWT and ECAM models as starting points for empirical testing in CalTRACK 2.0.
CalTRACK working group discusses building qualification testing results, establishing CV(RMSE) metrics and thresholds to determine which buildings are suitable for portfolio analysis.