Neural network of forecasting electricity consumption by airports

Authors

  • Oleg Leshinskij National Aviation University
  • Nataliia Sokolova National Aviation University
  • Iryna Prokhorenko National Aviation University
  • Oleksandr Prykhodko National Aviation University

Keywords:

airport, power energy, neural network, forecast

Abstract

The article analyses the possibilities of forecasting the volumes of electricity consumption by airports using software based on neural networks. A review and comparative analysis of the available software for the task is carried out.

Additional Files

Published

2025-03-28

Issue

2024: XI Всесвітній конгрес “Авіація в XXI столітті” – “Безпека в авіації та космічні технології”

Section

Automation and energy saving in air transport