The dataset contains 11 predictive attributes, 1 non-predictive(p1), 1 goal field. The target variable refers to the stability in powergrids

Below is the data description

1. tau[x]: reaction time of participant (real from the range [0.5,10]s). Tau1 - the value for electricity producer.

2. p[x]: nominal power consumed(negative)/produced(positive)(real). For consumers from the range [-0.5,-2]s^-2; p1 = abs(p2 + p3 + p4)

3. g[x]: coefficient (gamma) proportional to price elasticity (real from the range [0.05,1]s^-1). g1 - the value for electricity producer.

4. stab: the maximal real part of the characteristic equation root (if positive - the system is linearly unstable)(real)

Submission file format:

The prediction submission file must contain column names: stab. Else, it will give an error.

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

stab

0.015006

-0.04724

0.041343

0.031933

0.000722

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Etc.

Note that the header name should be ‘stab’ else it will throw an evaluation error.

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button on top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

Data Sprint 82 - Smart-Grid Stability Prediction