Electricity Optimization in a Community Using OpenCV and Machine Learning with Mobile Application

Optimizing the power is one of the basic need in growing development of electronic and electrical fields. With development of various fields leads to the increase in the demand of power directly or indirectly. The common factors helps in reducing the usage of power consumptions are the time and seasonality factors which is analyzed based on data over a period. The other factors which may be taken in consideration are the number people in a region and their characteristics like gender and age group. We can improvise the AI model using the above external factors. Once the model predict it update the expected amount of electricity required in transformer and send mobile notification to the authorized person and the person can track the energy usage in mobile for analysis.