Joint Session 52 Machine Learning Applications in the Energy Sector

Thursday, 11 January 2018: 10:30 AM-11:45 AM
Room 15 (ACC) (Austin, Texas)
Hosts: (Joint between the Ninth Conference on Weather, Climate, and the New Energy Economy; and the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences )
Cochairs:
David John Gagne II, NCAR, Boulder, CO and Sue Haupt, NCAR, RAL, Boulder, CO

Papers:
10:30 AM
J52.1
Impact of Targeted Measurements and Advanced Machine Learning Techniques on 0−3-h Ahead Rapid Update Wind Power and Ramp Rate Forecasts in the Tehachapi Wind Resource Area of California
Steven H. Young, UL, Albany, NY; and J. Zack
Recorded Presentation

10:45 AM
J52.2
Development of a Thunderstorm Power Outage Prediction Model
Stephen Shield, The Ohio State Univ., Columbus, OH; and D. B. McRoberts and S. M. Quiring
Recorded Presentation

11:00 AM
J52.3
Smart Grid: A Bottom-Up Approach for Consumer Demand Forecasts
Kiley L. Yeakel, The Aerospace Corporation, Chantilly, VA; and E. B. Wendoloski, C. M. Lawson, S. M. Vogel, and K. A. Roettiger
Recorded Presentation

11:15 AM
J52.4
Improving the Accuracy of Cloud Detection Using Machine Learning
Mary Ellen Craddock, Northrop Grumman Corporation, McLean, VA; and R. Alliss and M. Mason
Recorded Presentation

11:30 AM
J52.6
Improvements to Sodar Turbulence Intensity Measurements
Andrew Hastings Black, Vaisala, Inc., Louisville, CO
Recorded Presentation

J52.5
Regime-Based Forecast Corrections Using Support Vector Machines

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