6
Applications of Artificial Intelligence Methods for Energy-Part II

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
Wednesday, 7 January 2015: 4:00 PM-5:30 PM
124B (Phoenix Convention Center - West and North Buildings)
Hosts: (Joint between the 13th Conference on Artificial Intelligence; and the Sixth Conference on Weather, Climate, and the New Energy Economy )
CoChair:  Sue Ellen Haupt, Research Applications Laboratory, NCAR, Boulder, CO

Papers:
  4:00 PM
J6.1
A Multi-Faceted Approach Towards Solar Forecasting
Edwin Campos, Argonne National Laboratory, Argonne, IL; and E. Constantinescu, J. Wang, Z. Zhou, A. Botterud, D. Cook, H. F. Hamann, and S. Lu

  4:15 PM
J6.2
The SunCast Solar Power Forecasting System
Sue Ellen Haupt, NCAR, Boulder, CO
Recorded Presentation

  4:30 PM
J6.3
Towards a More Accurate Machine Learning Multi-Model Ensemble Method for Direct Solar Irradiance Forecasts
Surya Karthik Mukkavilli, UNSW & CSIRO, Sydney, NSW, Australia; and M. J. Kay, A. A. Prasad, R. Taylor, and A. Troccoli
Recorded Presentation

Handout (3.1 MB)

  4:45 PM
J6.4
Machine Learning Based Multi-model Blending for Enhancing Renewable Energy Forecasting
Siyuan Lu, IBM, Yorktown Heights, NY; and Y. Hwang, I. Khabibrakhmanov, H. Dang, T. van Kessel, F. Marianno, X. Shao, and H. F. Hamann

  5:00 PM
J6.5
A Regime-Dependent Bayesian Approach to Short-Term Solar Irradiance Forecasts
Tyler C. McCandless, NCAR, Boulder, CO; and S. E. Haupt, G. S. Young, and A. J. Annunzio
Recorded Presentation Manuscript (2.4 MB)

 
J6.6
Data Analytics for Solar Energy Management

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