Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=uhvc21 Download by: [Texas A&M University Libraries] Date: 25 December 2016, At: 15:12 Science and Technology for the Built Environment ISSN: 2374-4731 (Print) 2374-474X (Online) Journal homepage: http://www.tandfonline.com/loi/uhvc21 An hourly hybrid multi-variate change-point inverse model using short-term monitored data for annual prediction of building energy performance, part I: Background (1404-RP) Bass Abushakra & Mitchell T. Paulus To cite this article: Bass Abushakra & Mitchell T. Paulus (2016) An hourly hybrid multi-variate change-point inverse model using short-term monitored data for annual prediction of building energy performance, part I: Background (1404-RP), Science and Technology for the Built Environment, 22:7, 976-983, DOI: 10.1080/23744731.2016.1215222 To link to this article: http://dx.doi.org/10.1080/23744731.2016.1215222 Accepted author version posted online: 29 Aug 2016. Published online: 29 Aug 2016. Submit your article to this journal Article views: 40 View related articles View Crossmark data Citing articles: 1 View citing articles