Vidyuta Analytics

Inspiration

Energy use reports sent by energy companies are not actionable. Vidyuta's Analytics provides actionable analytics and forecasts for users

Secret sauce?

We use data driven analytics to understand customer usage and use temperature and other factors to produce accurate forecasts.

What made us bang our heads against the wall

Data quality. We spent 50-60% of the time cleaning and scraping data

What we are proud of ?

We processed 30 million records, wrote more than 1000 lines of code and build sophisticated models that proved that our approach works

Lessons learnt

Data processing requires scale, planning and a lot of patience

What's next for Vidyuta Analytics

We will be scaling these analytics and will be putting together dashboards that we can take to our potential customers as demos

Built With

• enernoc-data
• matlab
• noaa-climate-data-online
• python
• r
• tableau