- Hi, my name is Guillermo. I'm Postdoc at Environmental Studies and, Statistics and Applied Probability deparments of the University of California, Santa Barbara.
- I’m interested in machine learning, Bayesian statistics, computer vsion and optimization for renewable energy and smart grids.
- I’m currently learning functional data analysis and optimization for operational planning of modern grids with high participation of renewable energy sources
- I’m looking to collaborate on solar, wind, and demand forecasting using remote sensing (sky imagers, satellite imaginary, or mesoscale meteorology).
- Feel free to reach me at [email protected]
🌞
Tracking the Sun
Postdoc at ES and PSTAT depts. Machine learning and optimization for renewable energy systems planning.
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University of California, Santa Barbara
- Santa Barbara, CA, USA.
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20:46
(UTC -08:00)
Popular repositories Loading
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cloud_segmentation
cloud_segmentation PublicCodes for cloud segmentation in ground-based infrared sky images
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deep_learning_intra-hour_solar_forecasting
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multiple_cloud_dection_and_segmentation
multiple_cloud_dection_and_segmentation PublicMixture models implemented for the detection of clouds when flowing in different wind velocity fields
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girasol_machine
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Jupyter Notebook 1
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multiple_velocity_fields_visualization
multiple_velocity_fields_visualization PublicFiles for the cross-validation of the SVM and GPR for flow approximation when clouds are flowing in one wind velocity field or two different wind velocity fields
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