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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/15271
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| タイトル: | Short-term prediction of energy consumption of air conditioners based on weather forcast |
| 著者: | Nguyen, Hoaison
Makino, Yoshiki
Lim, Yuto
Tan, Yasuo |
| キーワード: | Smart Homes
Home Energy Management Systems
Energy Consumption Prediction |
| 発行日: | 2017-11-24 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2017 4th NAFOSTED Conference on Information and Computer Science |
| 開始ページ: | 195 |
| 終了ページ: | 200 |
| DOI: | 10.1109/NAFOSTED.2017.8108063 |
| 抄録: | 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 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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記述 |
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| 23909.pdf | | 1319Kb | Adobe PDF | 見る/開く |
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