As large C&I companies, set up their own renewable energy assets and invest in energy efficiency in a bid to reduce their carbon footprints, Oil and Gas companies, utilities, and Energy Solution Providers who have been serving them are optimizing demand and setting up & managing their own renewable energy resources to meet their C&I customers’ new energy needs from green sources.

Serving these C&I customers well, means helping customers to reduce energy consumption, helping them to match their demand with intermittent supply, managing grid reliance , integrating storage and managing EV charging infra for them. It also means delivering value added services to, increase efficiency, reduce peak loads, forecasting generation, analyzing plant efficiency, maintaining demand supply balance and automating the flow of energy to autonomously and proactively serve the sophisticated demands of C&I customers.

Existing solutions are not autonomous, making load management and the balancing of supply and demand not optimum and often cumbersome. Another advantage of the developed solution is that the software is modular, so AI components can integrate easily with other platforms. Moreover, competitors have cloud AI on third party clouds, making costs relatively high. Energos solution is autonomous and self-learning, enabling the control and optimization with extraordinary convenience of C&I customer’s objectives around price, comfort, and sustainability goal.

Moreover, their AI at the Edge has the following unique advantages:

1. Relative cost reduction- versus cloud data
2. High Reliability- Irrespective of internet availability or speed
3. Security & Privacy- Neural network driven AI processing on device
4. Low Latency- Immediate response for a seamless experience
5. Add intelligence to loads- HVAC, EVs, others
6. Low investment high return business model