Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison

This investigation compares the effectiveness of change-point models with that of Gaussian process models for baselining industrial facilities using only monthly utility billing information as data. Two case studies are presented to predict electricity usage and two case studies are presented to predict natural gas usage. Both change-point and Gaussian process models provided similar results, and both models meet the recommended NMBE and CV-RMSE from the ASHRAE Guideline 14. For one case study, both change-point and Gaussian process models were applied using available test data not contained in the training data, and both models predicted the monthly energy usage within 10% for 4 of the 5 months of testing data used.