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Andrew Weekley

Photo of Andrew Weekley (@UCAR, photo by Carlye Calvin)

Andrew Weekley is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center.

Software Engineer
On staff since January 2013
Phone number: 303-275-3680
E-mail: andrew.weekley@nrel.gov

Areas of expertise

  • MATLAB
  • Expert systems
  • Scientific data analysis

Primary research interests

  • Time series segmentation and classification
  • Image segmentation and classification
  • Machine intelligent algorithms

Education and background training

  • B.A. in physics and mathematics, University of Colorado, Boulder, 1990

Prior work experience

  • Software Engineer, National Center for Atmospheric Research (NCAR), Boulder, CO, (1997-2012)
  • Member Technical Staff, Raytheon (formerly Hughes), Aurora, Co, (1990-1997)

Selected publications

Hummon, M.; Cochran, J.; Weekley, A.; Lopez, A.; Zhang, J.; Stoltenberg, B.; Parsons, B.; Batra, P.; Mehta, B.; Patel, D. (2014). Variability of Photovoltaic Power in the State of Gujarat Using High Resolution Solar Data. 65 pp.; NREL Report No. TP-7A40-60991.

Hummon, M.; Weekley, A.; Searight, K.; Clark, K. (2013). Downscaling Solar Power Output to 4-Seconds for Use in Integration Studies (Presentation). NREL (National Renewable Energy Laboratory). 24 pp.; NREL Report No. PR-6A20-60336.

Bloom, A.; Townsend, A.; Hummon, M.; Weekley, A.; Clark, K.; King, J. (2013). Eastern Renewable Generation Integration Study: Initial Results (Poster). NREL (National Renewable Energy Laboratory). 1 pg.; NREL Report No. PO-5D00-60241.

Hummon, M.; Weekley, A.; Searight, K.; Clark, K. (2013). Downscaling Solar Power Output to 4-Seconds for Use in Integration Studies: Preprint. 7 pp.; NREL Report No. CP-6A20-60335.

Weekley, R.A.; Goodrich, R. K.; and Cornman, L. B. (2010). "An Algorithm for Classification and Outlier Detection of Time-Series Data." Journal of Atmospheric and Oceanic Technology, 27(1), 94-107.

Weekley, R.A.; Goodrich, R. K.; and Cornman, L. B. (2004). Feature classification for time series data. US Patent 6,735,550. May.

Weekley, R.A.; Goodrich, R.; Praskovsky, A.; and Cornman, L. (2004). An anemometer data quality control method designed for a turbulence and wind shear prediction algorithm. 11th Conference on Aviation, Range, and Aerospace.

Full list of Andrew Weekly publications (NREL)

Personal interests/hobbies

Skiing, woodworking