This repository contains material for a hands-on tutorial and additional content about data science in wind resource assessment. The tutorial was held on 2020-03-11 at the PyData San Diego Meetup.
Abstract: Simulation output clearly depends on the form of the input distributions used to drive the model. Often these input distributions are fitted using finite samples of real-world data. The ...
This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...
Immigration and Customs Enforcement (ICE) is surveying the commercial advertising technology market for tools capable of supplying location data and large-scale analytics to federal investigators, ...
Abstract: We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data. We focus on input-state data corrupted by measurement errors, ...
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