Loading

POWER

Predict Power Consumption

3045
10
0
11

πŸ›  Contribute : Found a typo? Or any other change in the description that you would like to see ? Please consider sending us a pull request in the public repo pf the challenge here.

πŸ•΅οΈ Introduction

Wouldn't you be ex-static if you could get rid of those nasty electricity bills!

We provide you with power consumption details of households and ask you to predict the readings of a meter.

Understand with code! Here is getting started code for you.πŸ˜„

πŸ’Ύ Dataset

This database was made possible by measuring electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electricity consumptional quantities like voltage,global_intensity and some sub-metering values are available in the dataset. Theere were 9 values that were recorded out of which the last one is the reading of sub meter 3 which you are asked to predict and the rest of the attributes can be found here.

πŸ“ Files

Following files are available in the resources section:

  • train.csv - (838860 samples) This csv file contains the attributes describing an power consumption of the household along with the reading of the sub meter 3.

  • test.csv - (209715 samples) File that will be used for actual evaluation for the leaderboard score but does not have the value of the reading of the sub meter 3.

πŸš€ Submission

  • Prepare a csv containing header as sub_metering_3 and predicted value as the reading of the meter in a file with name as submission.csv.
  • Sample submission format available at sample_submission.csv.

Make your first submission here πŸš€ !!

πŸ–Š Evaluation Criteria

During evaluation Mean Absolute Error and Root Mean Squared Error will be used respectively.


πŸ”— Links

πŸ“± Contact

πŸ“š References

  • This dataset is made available under the β€œCreative Commons Attribution 4.0 International (CC BY 4.0)” license
  • Image Source

Participants

Getting Started

Leaderboard

01 darthgera123 2.213
02 adithyasunil26 2.299
03 ashivani 4.105