Taipower Forecast

Description

Given past data from Taipower, predict next 7 days' 'peak load'

Dependencies

• numpy
• pandas
• scikit-learn
• pystan
• fbprophet

Type in command to install above:

pip install -r requirements.txt 

Note: The installation may take 4~5 mins to complete.

Tested on a clean environment created by virtualenv on Ubuntu 16.04 LTS

Run

 python3 app.py 

Result

The result will be stored in submission.csv

Example of submission.csv

date,peak_load(MW)
20190402,28810
20190403,28856
20190404,25472
20190405,25259
20190406,25943
20190407,24777
20190408,28684

More information about this project

https://nbviewer.jupyter.org/github/Jadezzz/Taipower_forecast/blob/master/forecasting.ipynb

Ground Truth (4/9 Update)

date,peak_load(MW)
20190402,28359
20190403,28483
20190404,25663
20190405,24542
20190406,24966
20190407,25240
20190408,30399

RMSE Score

843.24