Building Al systems to predict energy demand with 95%+ accuracy

Our Al models can identify optimisation opportunities that human operators might miss, leading to 15-20 percent improvements in overall system efficiency.

- By Amit Varshney, Director, RM Controls & VR Engineering

RM Controls and VR Engineering are leading the energy transition in India by integrating AI, digital technologies, and advanced control systems. Their solutions optimise renewable and nuclear energy, enable predictive maintenance, and ensure safety and reliability. This supports the country's 2030 energy targets, which will create a smart, efficient, and resilient energy ecosystem for the future. Amit Varshney shares more insights into the industry approach and the sector. Let us know from him.

With AI increasingly becoming the backbone of renewable energy operations, how is RM Controls aligning with it, helping utilities and industries in their business?

AI is fundamentally redefining how we approach energy management, and we are positioning ourselves at the forefront of this revolution—our approach centres on three key solutions. The first one is smart grid integration, in which we are developing AI-powered control systems that can predict energy demand patterns with 95%+ accuracy, enabling utilities to optimise renewable energy distribution in real-time. Our machine learning algorithms analyse weather patterns, consumption trends, and grid stability to adjust energy automatically flows from wind and solar sources.

The other one is autonomous operations. Our AI-driven automation platforms reduce human intervention in routine operations by up to 70%, while simultaneously enhancing safety protocols. This is particularly crucial for renewable installations in remote locations where traditional monitoring would be cost-prohibitive.