Energy-data validation: an overview and some concepts
Energy data validation can be viewed operationally as a three-fold assessment process: (1) a determination of the quality of the data collected, i.e., an assessment of accuracy; (2) an analysis of the relevance and usefulness of the data so as to assess how closely the data collected is meeting the requirements of its users; (3) an assessment of measures that can be taken to enhance the effectiveness of the data system under study. Assessment (1) is akin to the process of critical evaluation of data in the physical sciences. Assessments (2) and (3), the more distinctive features, underlie two important goals of validation. In brief, the analyst validates both the information and the requirements for the information, and as deficiencies in these two aspects are uncovered, the validation analyst formulates and evaluates the means for correcting these deficiencies. This paper focuses upon the use of an error model for systematizing the assessment of accuracy in a data-system validation study. Other topics discussed briefly are: a capsule history of energy-data validation; ORNL studies of outlier detection methods, automatic data editing and sampling theory in support of the energy-data validation program; reviews of energy-data requirements.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- DOE Contract Number:
- W-7405-ENG-26
- OSTI ID:
- 6868004
- Report Number(s):
- CONF-810842-7; ON: DE82020901
- Resource Relation:
- Conference: American Statistical Association meeting, Detroit, MI, USA, 10 Aug 1981; Other Information: Portions of document are illegible
- Country of Publication:
- United States
- Language:
- English
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POLICY AND ECONOMY
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ENERGY INFORMATION ADMINISTRATION
STATISTICS
VALIDATION
DATA ACQUISITION
DATA ANALYSIS
DATA COVARIANCES
ERRORS
MATHEMATICS
NATIONAL ORGANIZATIONS
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US DOE
US ORGANIZATIONS
290100* - Energy Planning & Policy- Energy Analysis & Modeling
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