Data Lake for forecasting
1
Challenge
The aim of the project was:
- improving the efficiency of energy consumption
- development of models of energy consumption prediction in terms of hourly and daily
- identifying trends and anomalies in energy consumption data
- unification of reporting and billing data management
2
Solution
A data repository in the distributed processing technology was developed.
Data volume: 100 TB
3
Result
Reducing the time of preparing billing reports from several hours to several dozen seconds
Shortening the time of preparing energy consumption prediction from a few hours to several minutes