Energy industry notebook

[jbe456]

Description

Challenges

3 challenges from ENGIE:

1. The Position Management Challenge: your team will have to build a solution computing the aggregated delivery matrices of our deals, with a drill-down capacity using various axes. Being able to rebuild the full dataset from scratch will be a part of the challenge.

2. The Wind and Solar Challenge: your team will have to compute different aggregated metrics based on wind and solar real-time production and forecast data. This data gets updated frequently, so being able to recompute aggregated metrics quickly will certainly be a part of this challenge.

3. The Consumption Data Visualization Challenge: your team will be asked to restitute the aggregation consumption of our clients. Clients can have many delivery points and a time granularity of up to 30 minutes. The challenge will be to aggregate the data across delivery points quickly, and to timescale easily. Showing the result on a flexible chart will be appreciated!

Criteria

• Time of data ingestion
• time response on one aggregate
• drill down capacity
• pivot table mode
• ability to filter data
• when restarting: how long for data to be available
• updates: how long for data to be available?
• update intensity
• capable of real-time aggregation on streaming data?

Resources

https://gem-timeseries-hackathon.bemyapp.com/