Detecting Non-Technical loss(NTL) in electrical distribution through Machine Learning Applied techniques.
Бюджет $10-30 USD
Job Description:
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
12 фрилансеров(-а) готовы выполнить эту работу в среднем за $76
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Dear employer, I noticed your project ' Detecting Non-Technical loss(NTL) in electrical distribution through Machine Learning Applied techniques ' which can be achieved completely without a delay. Being a machine learn Больше
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I have experience in supervised machine learning algorithm data. I will be using open source tool for analysis the data required with attribute list can be provided.
