Detecting Non-Technical loss(NTL) in electrical distribution through Machine Learning Applied techniques.
Budget: $10 – $30 USD
The goal is to develop a simple model based on machine learning model either supervised or u supervised that will detect non technical loss which are due to fraud or anomalies.
The methodology will be developed and tested for acurancy.
I will provide data from the smart meters.
What you are required to do is.
1. Develop machine learning model that will detect NTL.
2. Develop a sample sheet of the required dataset. (I will provide SMART METER data from the customer end)
3. The method after testing should provide(out) label as theft / suspicious / no theft
The methodology will be developed and tested for acurancy.
I will provide data from the smart meters.
What you are required to do is.
1. Develop machine learning model that will detect NTL.
2. Develop a sample sheet of the required dataset. (I will provide SMART METER data from the customer end)
3. The method after testing should provide(out) label as theft / suspicious / no theft