Systems and methods for generating an energy usage model for a building

摘要

A building management system (BMS) includes a baseline model generator configured to receive an initial set of predictor variables for potential use in an energy usage model for a building, generate a first set of coefficients for the baseline energy usage model based on the initial set of predictor variables, remove one of the predictor variables from the initial set of predictor variables to create a subset of the initial set of predictor variables, generate a second set of coefficients for the baseline energy usage model based on the subset of the initial set of predictor variables, calculate a test statistic for the removed variable using a difference between the first set of coefficients and the second set of coefficients, and automatically select the removed predictor variable for use in the baseline energy usage model in response the test statistic exceeding a critical value.

主权项

1. A building management system comprising:
HVAC equipment configured to affect an environmental condition within a building by providing heating or cooling to the building; one or more sensors configured to measure one or more predictor variables for potential use in a baseline energy usage model for the building, wherein the baseline energy usage model predicts an energy consumption of the HVAC equipment; and a baseline model generator comprising a processing circuit configured to:
receive an initial set of predictor variables including the one or more measured predictor variables;generate a first set of coefficients for the baseline energy usage model based on the initial set of predictor variables;remove one of the predictor variables from the initial set of predictor variables to create a subset of the initial set of predictor variables;generate a second set of coefficients for the baseline energy usage model based on the subset of the initial set of predictor variables;calculate a test statistic for the removed variable using a difference between the first set of coefficients and the second set of coefficients; andautomatically select the removed predictor variable for use in the baseline energy usage model in response to the test statistic exceeding a critical value.