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In a bid to bring wind analytics to speed, ReNew Power, one of the leading renewable energy companies in India, in partnership with MachineHack, is launching a data science hiring hackathon scheduled from August 19, 2022, to September 9, 2022.
The data science hiring hackathon provides data professionals with an exciting opportunity to prove their capabilities and get a chance to work with ReNew Power. The candidates would also stand a chance to win prizes like iPhone 13, iPad Air, Samsung Galaxy Watch 4–42mm, Alexa Echo Show 8 and more.
So register today!
Problem statement and description
Unplanned downtime of wind turbines can result in a significant loss of revenue and energy. Therefore, it is important to predict and flag the failure of components to prevent further loss and perform maintenance before the onset of complete failure, which in turn requires replacement of the components and incur higher costs.
Moreover, condition-based monitoring systems rely on supervisory control and data acquisition (SCADA) systems to predict faults and get valuable insights into turbine performance.
In this hackathon, ReNew Power shared minute-wise normalised data of wind speed, power and temperature data for multiple components of a wind turbine. The company is looking to create a model to get an ideally functioning turbine’s expected rotor bearing temperature. It will then use the model to check the deviation of the actual rotor bearing temperature of the faulty turbine from the expected temperature.
** It is to be note
START DATE: 19th August
END DATE: 9th September
Click here to participate in the hackathon
MachineHack and ReNew Power have created a training dataset of 909604 rows with 16 columns and a testing dataset of 303202 rows with 15 columns to solve the prediction problem.
Submission guidelines
Sklearn models support the predict() method to generate the predicted values
The participant should submit a .csv file with exactly 3,03,202 rows with 1 column [“Target”]. The submission will return an Invalid Score if you have extra rows or columns.
** The file should have exactly 1 column.
Evaluation criteria
The evaluation of the hackathon will be undertaken using the Mean Absolute Percentage Error. One can use sklearn.metrics.mean_absolute_percentage_error to calculate the same.
The hackathon would also support private and public leaderboards, where the public leaderboard will be evaluated on 30% of test data. On the other hand, the private leaderboard will be available at the end of the hackathon and assessed on 100% of the test data.
Final score will be 70* [Leaderbaord (100% of test dataset)] + 30* [Solution Approach]
START DATE: 19th August
END DATE: 9th September
Click here to participate in the hackathon
Prizes
Top 25 candidates on the public leaderboard will get a chance to be interviewed/hired by ReNew Power. ReNew Power will select the top three (3) winners, alongside weekly winners, based on given criteria.
** Note: There will be two weekly winners for the first two weeks. This also makes it likely for the candidates to win two prizes (weekly prize + winner’s prize)
First prize: iPhone 13 (128GB)
Second price: iPad Air, WiFi (64GB)
Third prize: Samsung Galaxy Watch 4 – 42mm
Weekly winners (total 2): Alexa Echo Show 8
Dataset details
- Train: 909604 rows x 16 columns
- Test: 303202 rows x 15 columns
- Sample Submission.csv — Please check the ‘Evaluation’ section on the MachineHack web page for more details on generating a valid submission.
To know more about the attributes, click here.
