/XBUS-515.Time-Series-Analyses-and-Databases

Workshops, code, and examples for the Time Series Analytics course in the Advanced Data Science Certificate.

Primary LanguageJupyter NotebookMIT LicenseMIT

XBUS-515 Time Series Analyses and Databases

Workshops, code, and examples for the Time Series Analytics course in the Advanced Data Science Certificate.

Getting Started

Please clone the repository prior to class - note that there is a large dataset included in the repository and it may take a while to download. You can then install the Python dependencies for the notebooks as follows:

$ pip install -r requirements.txt

You will be assigned breakout rooms to work in pairs or small groups. Run the notebooks using the jupyter command.

References

Chen, Yang. Early Anomaly Detection and Classification with Streaming Synchrophasor Data in Electric Energy Systems. Diss. 2015. https://oaktrust.library.tamu.edu/handle/1969.1/156508