About Client
An energy-tech company based in the US that partners with B2B distributors to generate electricity bills for households
Challenge
There were 3 broad challenges faced by the client:
Utility distributors were unable to understand the energy leakages and opportunities for energy optimization in their region- End customers were having disparity with the monthly utility bills
- Malfunction of smart meters were detected manually by the client which resulted in loss of time and resources of the distributors
Our Solution
Deep Machine Learning Algorithm which had Internet Of Things (IOT) sensors to check for any malfunction or errors in the smart meters was applied after training on 10M+ data points- The algorithm learnt what appliance was used at what time of the day with visual representation of graphs, for e.g- Television usage was identified with a unique wave while Air Conditioning consumption had a different wave pattern
- This helped in accurately generating the end of the month utility bills for households
- Additional support was given in generating email notifications to the end consumers about their appliance-wise usage at regular intervals
- Email notifications alerted the consumers to act more consciously thereby, strengthening consumer relationship
- The Deep Machine Learning system subsequently helped the distributors to identify the potential customers based on third-party data and optimise the energy at their regions
Outcome
- Itemized bills were generated for each household’s electricity consumption to eliminate any kind of disparity
- Email Notifications are sent to utility consumers for informing their consumption at regular intervals which helped them to track and use energy consciously
- Utility distributors could optimize energy of their regions effectively by analyzing the energy leak
- AI-powered alerts were generated in case of failure or malfunction of smart meters to the client