Predicting Energy Usage in a Supermarket

dc.creator	Schrock, D. W.
dc.creator	Claridge, D. E.
dc.date.accessioned	2008-05-16T16:14:13Z
dc.date.available	2008-05-16T16:14:13Z
dc.date.issued	1989
dc.identifier.other	ESL-HH-89-10-20
dc.identifier.uri	https://hdl.handle.net/1969.1/6583
dc.description.abstract	Very little is known about the energy using systems in commercial and retail stores, which consume 24.8% of the energy used by all commercial buildings. This paper describes development of a change-point regression model for predicting the hourly and daily electrical use of a supermarket. Operational improvements already identified with the model can save the store over 4% of their electricity cost annually. Further analysis is expected to save the store additional energy costs.	en
dc.publisher	Energy Systems Laboratory (http://esl.tamu.edu)
dc.publisher	Texas A&M University (http://www.tamu.edu)
dc.title	Predicting Energy Usage in a Supermarket	en
dc.contributor.sponsor	Energy Systems Laboratory