Physically-Grounded Neural Network for Time Series Forecasting in Engineering Systems
As part of its ongoing R&D efforts, Independent Energy announces the publication of a peer-reviewed scientific article by A.A. Karmanov in Engineering Bulletin of the Don. The work focuses on advanced forecasting techniques for one of the most complex control challenges: predicting ice temperature dynamics in indoor arenas subject to abrupt load variations.
This research reinforces the company’s commitment to rigorous, physics-informed modelling and contributes to our next-generation AI forecasting capabilities. The full publication is available here: