Identifying energy savings opportunities in vacant commercial buildings using a semi-supervised sensor fusion model

•Miscellaneous loads are a major opportunity to save electricity in vacant buildings.•A method for inferring vacancy was developed.•The model generates a continuously updated likelihood of vacancy.•The vacancy inference model requires less ground truth data.•The sensor fusion approach is robust and enables flexibility.