AI · Forecasting · Optimisation
Surender Redhu
Staff Engineer – AI at Falkor in Norway. I build forecasting and optimisation tools for power grids and energy systems, and take them from the first customer conversation to production.
What I work on
Forecasting at scale
Load, generation and consumption forecasts from real-time grid data, used daily in operations.
Grid optimisation
Forecasts that feed load flow and switching decisions for restoration, capacity and congestion.
Hybrid physics and ML
Physics-informed models and fast surrogates inside digital-twin evaluation loops.
Latest writing
All writing
15 November 2026 · Essay · 7 min read · with a 90-second video
More AI should not mean fewer people
AI is changing work faster than our institutions can respond. Two ideas to make the system as ready as the technology.
Before industry
My PhD at IIT Kanpur made Internet of Things networks more reliable and energy-efficient, for smart cities, e-health, agriculture, transport and industry. I then worked as a postdoctoral fellow at the University of Agder and as an AI researcher at Smart Innovation Norway, using deep learning, reinforcement learning and federated learning for intelligent IoT and energy systems. More on the research and publications pages.