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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/15271

Title: Short-term prediction of energy consumption of air conditioners based on weather forcast
Authors: Nguyen, Hoaison
Makino, Yoshiki
Lim, Yuto
Tan, Yasuo
Keywords: Smart Homes
Home Energy Management Systems
Energy Consumption Prediction
Issue Date: 2017-11-24
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2017 4th NAFOSTED Conference on Information and Computer Science
Start page: 195
End page: 200
DOI: 10.1109/NAFOSTED.2017.8108063
Abstract: n residential houses, air conditioners consume a lot of electrical energy. In order to improve energy efficiency for residential houses, short-term prediction of energy consumption of air conditioners is required. In this paper, we propose the use of our thermal simulation to simulate the change of room temperature based on weather forecast information and predict the energy consumption of an air conditioner in a residential house. In order to calculate solar radiation heat flux, which contributes a lot to the change of room temperature, we utilize a neural network model to predict global solar radiation using training data obtained from weather stations. We also utilize a PID control model to simulate the operation of air conditioners. The accuracy of our simulation is verified by experiments carried out at a real testbed house.
Rights: This is the author's version of the work. Copyright (C) 2017 IEEE. 2017 4th NAFOSTED Conference on Information and Computer Science, 2017, 195-200. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/15271
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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