Problem / Objective :

DataGlen aims to improve access to clean and cheap energy, as over 500 million people across the world lack access to electricity. Countries across the globe are working on incorporating distributed energy sources such as solar and storage into their energy portfolio. 

Solution / Approach:

DataGlen was founded in April 2015 and offers IoT and AI-based products and solutions for distributed energy systems. It has an experience in interfacing, monitoring and managing a wide variety of distributed-energy equipment including solar inverters, energy meters, string monitoring units, weather stations, diesel generators, etc. DataGlen has also developed various ML algorithms for analysing and optimising the performance of distributed energy systems. They have delivered innovative energy solutions in four different continents. 

DataGlen’s AI and IoT-based distributed energy resources (DER) management platform aims to incorporate 100 GW of solar generation capacity in India by 2022. The availability of inexpensive DER, like solar energy, is revolutionising the electricity industry. However, there are various challenges posed by environmental factors, usage patterns, difficulty in managing, stability of grids, etc. 

Impact / Implementation:

The DER platform helps in maximising energy generation while minimising maintenance costs - for instance, cleaning of solar panels such that the total energy generation is maximised while water and labour costs are minimised. DataGlen’s solution has been demonstrated to increase energy generation by 7-10%. 

Source: NASSCOM COE-DSAI AI for Good report