M. Shpilievyi

COMPARATIVE ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR REACTIVE POWER FORECASTING IN AC TRACTION POWER SUPPLY SYSTEM

The problem of reactive power compensation in AC traction power supply systems is critical for ensuring energy efficiency, voltage stability, and power quality. Traditional compensation methods often lack the adaptability required to handle the highly dynamic and non-linear loads characteristic of electric railway netw...