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dc.creatorSweeney, J., Jr.en_US
dc.creatorHaberl, J. S.en_US
dc.date.accessioned2005-07-25T20:59:44Z
dc.date.available2005-07-25T20:59:44Z
dc.date.issued2002en_US
dc.identifier.otherTR-02-02-01en_US
dc.identifier.urihttp://hdl.handle.net/1969.1/2029
dc.descriptionThe information included in this report represents the LoanSTAR and Technical Assistance deliverable Task D, number four, "Automated the Data Analysis/Quality Verification Process to 'Exception Only' (ESL internal)". This work reports on the Automated Data Quality process development. This process is a three-phase development of a series of checks that monitor polling information and raw files loaded into the database for low to high level data quality analysis. Phase one and two are low-level polling and data quality checks and are the subject of this report.
dc.description.abstractThe Automated Data Quality process development is an effort to automate the analysis and monitoring of the Energy Systems Lab's (ESL) polling and energy data process. Polling status refers to basic telecommunication line states, quality of data communications, and logger-system checks. The data from the Data Logging System can also be checked for quality at various stages in the ESL's Data System.
dc.format.extent7518870 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherEnergy Systems Laboratory (http://esl.tamu.edu), Texas A&M Universityen_US
dc.rightsAll rights reserved by the Energy Systems Laboratory of Texas A&M and the authors.en_US
dc.subjectLoanSTAR
dc.subjectAutomated Data Quality
dc.titleAutomated Data Quality Analysis Research and Developmenten_US
dc.typeTexten_US


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