A project on studying and modeling the effect of various parameters and variables on the stability of a smart power network by using a data-driven machine-learning framework.
Ajay Krishna and Danilo Giarlini
Data source: https://archive.ics.uci.edu/ml/datasets/Electrical+Grid+Stability+Simulated+Data+
Source paper: https://arxiv.org/pdf/1508.02217.pdf
Given a data set that contains n number of independent variables (input features), predict the stability value (output feature). Based on the relation between the input features and the stability value, provide some insights/tips on selecting/controlling the input features such that the insatbility issue may be reduced.
- What is stability?
- What are the input features?
- How can we evaluate the stability/instability based on the input features?
- Can we predict stability with less number of input variables?