Reduced Order Greenhouse Gas Flaring Estimation

نویسندگان

  • Sharad Bharadwaj
  • Sumit Mitra
چکیده

Global gas flaring is difficult to sense, a tremendous source of wasted revenue, and causes ecological problems. We use satellite sensors to predict gas flares’ sizes. We tested regression and classification algorithms, along with anomaly detection using k-means, and found that linear regression and 2-class SVM are almost as good as the full-tilt sensor model produced by the National Oceanic Atmospheric Administration (NOAA).

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تاریخ انتشار 2014