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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.

Data Scientist
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., J. Cochran, A. Weekley, A. Lopez, J. Zhang, B. Stoltenberg, B. Parsons, P. Batra, B. Mehta, and D. Patel. 2014. Variability of Photovoltaic Power in the State of Gujarat Using High Resolution Solar Data. NREL/TP-7A40-60991. National Renewable Energy Laboratory (NREL), Golden, CO (US).

Hummon, M., A. Weekley, K. Searight, and K. Clark. 2013. Downscaling Solar Power Output to 4-Seconds for Use in Integration Studies (Presentation). NREL/PR-6A20-60336. National Renewable Energy Laboratory (NREL), Golden, CO (US).

Bloom, A., A. Townsend, M. Hummon, A. Weekley, K. Clark, and J. King. 2013. Eastern Renewable Generation Integration Study: Initial Results (Poster). NREL/PO-5D00-60241. National Renewable Energy Laboratory (NREL), Golden, CO (US).

Hummon, M., A. Weekley, K. Searight, and K. Clark. 2013. Downscaling Solar Power Output to 4-Seconds for Use in Integration Studies: Preprint. NREL/CP-6A20-60335. National Renewable Energy Laboratory (NREL), Golden, CO (US).

Weekley, R.A., R.K. Goodrich, and L.B. Cornman. "An Algorithm for Classification and Outlier Detection of Time-Series Data." Journal of Atmospheric and Oceanic Technology 27, no. 1 (2010): 94-107.

Weekley, R.A., R. K. Goodrich, and L. B. Cornman. 2004. Feature classification for time series data. U.S. Patent 6,735,550. May.

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

Full list of Andrew Weekly publications (NREL)

Personal interests/hobbies

Skiing, woodworking