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- W2496190426 abstract "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)." @default.
- W2496190426 created "2016-08-23" @default.
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- W2496190426 date "2013-06-13" @default.
- W2496190426 modified "2023-09-22" @default.
- W2496190426 title "Automated Analysis of Renewable Energy Datasets ('EE/RE Data Mining')" @default.
- W2496190426 hasPublicationYear "2013" @default.
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