การพยากรณ์ภาระการทำความเย็นภายในห้องปรับอากาศ โดยการใช้โครงข่ายประสาทเทียม

Abstract

Cooling load prediction in air conditioning room using Artificial Neural Network is a part of the development of energy reduction from air-conditioned rooms. Cooling load calculation of air-conditioned room calculated by the data collected which located in Faculty of Engineering, Chiang Mai University between December 2017 and January 2018, the above data analyzed for sensitivity analysis. Which found that the 3 parameters, ambient temperature, room temperature, and solar radiation, were the major affecting the cooling load of the airconditioned room. The Artificial Neural Network (ANN) model was developed by that parameter for the prediction cooling load. The result of this research was found the ANN could predict the cooling load by ambient temperature, room temperature, and solar radiation with acceptable accuracy.