Evaluating and Monitoring Energy Conservation in Multibuilding Clusters with Statistical Models

dc.creator	Darwin, R. F.
dc.creator	Mazzucchi, R. P.
dc.date.accessioned	2008-05-16T16:11:18Z
dc.date.available	2008-05-16T16:11:18Z
dc.date.issued	1988
dc.identifier.other	ESL-HH-88-09-11
dc.identifier.uri	https://hdl.handle.net/1969.1/6513
dc.description.abstract	A standardized method for modeling energy consumption in mixed clusters of residential and commercial buildings is described. The basic approach is to delineate energy consumption along three dimensions: time, day-length, and temperature. The temperature-sensitive portion of energy consumption is captured by the Princeton Scorekeeping Method (PRISM). The time- and daylength-sensitive portions of energy consumption are captured by other variables. The models were designed to aid in determining the scope and performance of alternative financing activities on a U.S. Army base.	en
dc.publisher	Energy Systems Laboratory (http://esl.tamu.edu)
dc.publisher	Texas A&M University (http://www.tamu.edu)
dc.title	Evaluating and Monitoring Energy Conservation in Multibuilding Clusters with Statistical Models	en
dc.contributor.sponsor	Pacific Northwest Laboratory