A system based on artificial intelligence will be able to predict accidents and optimize fuel consumption, the press service of Moscow Polytechnic University told TASS.
We process a large volume of information for the purpose of monitoring and diagnosing power systems. Thanks to this, accurate forecasting of energy resource needs becomes possible, which helps plan power system loads more efficiently.
The algorithms analyze data on equipment operation, loads, and energy consumption in real time. The system will detect anomalies and warn about possible failures before they lead to an accident. The second task is optimization: neural networks will learn to redistribute power flows, reduce losses, and save fuel.
The tests are planned to be carried out at real facilities — sections of power grids in Moscow. The system will be adapted for different types of installations: from boiler houses to transformer substations.
If the technology proves effective, it will be scaled to other regions.