Automated Analysis of Renewable Energy Datasets ('EE/RE Data Mining')
Conference
·
OSTI ID:1225351
This poster illustrates methods to substantially improve the understanding of renewable energy data sets and the depth and efficiency of their analysis through the application of statistical learning methods ('data mining') in the intelligent processing of these often large and messy information sources. The six examples apply methods for anomaly detection, data cleansing, and pattern mining to time-series data (measurements from metering points in buildings) and spatiotemporal data (renewable energy resource datasets).
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE; NREL Laboratory Directed Research and Development (LDRD)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1225351
- Report Number(s):
- NREL/PO-6A20-64976
- Resource Relation:
- Conference: LDRD FY13 Annual Review and Poster Session;Golden, Colorado;06/13/2013 - 06/13/2013
- Country of Publication:
- United States
- Language:
- English
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