“A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings” Accepted to ACM Transactions on Sensor Networks

Our paper titled “A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings” has been accepted as a full journal publication in the Transactions on Sensor Networks (TOSN). This paper is an extension of our conference paper titled “Energy Saving Recommendations and User Location Modeling in Commercial Buildings”, which was accepted to UMAP ’18

Congratulations to ICSL PhD student Peter Wei and the rest of the Building Energy Project Team! To learn more about the project, please visit the ePrints project page.