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.

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: Data-driven control (DDC), that is the design of controllers directly from observed data, has attracted substantial attention in recent years due to its advantages over model-based control.

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, ...