| Title |
Artificial Neural Network based Energy Demand Prediction for the Urban District Energy Planning |
| Authors |
Kong Dong-Seok ; Kwak Young-Hoon ; Huh Jung-Ho |
| Keywords |
Urban Renaissance ; Artificial Neural Network ; Simulink ; Urban District ; Energy Demand Prediction |
| Abstract |
Under situations of our country to plan new cities and to proceed with urban renaissance constantly, it must be very essential to establish adequate energy demand-supply plans under estimation of energy demand for buildings in planning of Urban district. Especially, it needs to establish energy use plan based on load profile per time unit for step-by-step use and reuse of energy and should be based on existing energy consumption for reasonable estimation of energy demand. Artificial neural network which is a technology to express human brain as mathematical model would be possible to estimate future value in use of energy consumption and weather DB and its performance has been proved through previous related studies. In this study, we applied building energy DB to artificial neural network for development of energy demand prediction simulator per time unit at the planning stage on the basis of simulink and as the preceeding activity for this development of the system, we classified building categorys and energy to be estimated by each purpose to use. |