Development, implementation and trial run of an energy management system based on artificial neural network (ANN) and particle swarm optimization (PSO) for air side system

I&T Solution Development, implementation and trial run of an energy management system based on artificial neural network (ANN) and particle swarm optimization (PSO) for air side system
(REF: S-0213)
Trial Project
Solution Feature
  • Modelling of the energy consumption of air side system by computer
  • An analysis system based on algorithms of artificial neural network and particle swarm optimization for analyzing the energy consumption data and developing energy saving strategy
  • Implementing trial run at Central Mail Centre (CMC)
  • Investigation on the feasibility of implementing the technology in Hong Kong
Trial Application and Expected Outcome
  • A computer model of energy consumption of air side system
  • An algorithmic analysis system with machine learning
  • Energy saving strategy developed by the item (2) above
  • An implementation plan for trial at Central Mail Centre (CMC)
  • A report on the feasibility of implementing the technology in Hong Kong
Additional Solution Information Final Report on Research on Tseung Kwan O Hospital 18 JAN.pdf
Info on I&T Solution Provider
Solution Provider:The University of Hong Kong
Address:EEE Department, Pokfulam Road
Contact Person:Philip Pong
Position:Associate Professor
Tel:28578491
Email: ppong@eee.hku.hk
Webpage: https://www.eee.hku.hk/~ppong

For details of the above I&T solution, please contact the I&T solution provider.