adrienpetralia/ApplianceDetectionBenchmark
[ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series
This project helps electricity suppliers understand which appliances customers own, using existing smart meter data that measures electricity usage every 30 minutes. It takes raw energy consumption data from smart meters and tells you the presence or absence of specific appliances like dishwashers or washing machines. Energy analysts, smart grid managers, and utility providers who want to offer personalized recommendations to customers would find this useful.
No commits in the last 6 months.
Use this if you are an electricity supplier or energy researcher interested in accurately identifying household appliances from low-frequency smart meter consumption data.
Not ideal if you have high-frequency smart meter data (e.g., minute-by-minute) or are looking for real-time appliance detection.
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Language
Python
License
MIT
Category
Last pushed
Sep 29, 2025
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