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DAYTYPING METHODOLOGIES FOR ANALYSES OF COMMERCIAL BUILDING END-USE LOADS
Author(s) -
Zachary T. Taylor
Publication year - 1990
Language(s) - English
Resource type - Reports
DOI - 10.2172/1086609
Subject(s) - computer science , set (abstract data type) , cluster analysis , data mining , hierarchical clustering , operations research , engineering , artificial intelligence , programming language
As an outgrowth of the End-Use Load and Consumer Assessment Progam (ELCAP) being conducted for the Bonneville Power Administration, Pacific Northwest Laboratory researchers have developed several techniques for dealing with the extensive data set. Among these are daytyping methodologies-techniques for identifying groups of days in which a commercial building's operation is reasonably uniform. Two daytyping techniques--one based on ordered daily averages, another based on hierarchical clustering--are described and discussed in this document

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