General MLEndedPower Laws: Detecting Anomalies in Usage
Official page previewCaptured Oct 19 · not live
Open the competition on DrivenData↗
Open the competition on DrivenData↗- Effort
- 6–16 hours
- Difficulty
- Beginner
- Compute
- CPU only
- Scoring
- Not verified
About the task
Full rules ↗Commercial buildings waste an estimated 15% to 30% of energy used due to poorly maintained, degraded, and improperly controlled equipment. Competitors built quick-response algorithms to find anomalies in energy use and elevate them for human attention and intervention.
- Host
- Schneider Electric
Is it for you?
Strong first competition
Beginner fit82/100
Learning value86/100
Getting startedRunnable baseline
From the organizer
- BaselineOpen-source winning models on GitHub ↗
- DataCompetition dataset on Schneider Electric Exchange ↗
First competition? Read No GPU? Pick Competitions That Still Teach You Good Habits