A data-driven framework for characterising building archetypes: A mixed effects modelling approach

Data-driven characterization of cooling needs in a portfolio of co-located commercial buildings

“… 8 , 9 , 10 Residential meter data have proven instrumental in various analysis including, load clustering, customer segmentation, and building archetype identification, extending beyond electricity to heating. 11 , 12 , 13 In addition to residential buildings, commercial buildings in the United States (US), which account for 35% of 2021 electricity sales, 14 provide an opportunity for reducing energy use. This is particularly true for the existing commercial building stock that is likely to remain in use for the foreseeable future.…”