學年
|
110 |
學期
|
2 |
發表日期
|
2022-07-15 |
作品名稱
|
Paper No.: B220019 (Prediction of Ambient Temperature Using Datasets of Weather Stations) |
作品名稱(其他語言)
|
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著者
|
Hau-Chen Yen; Shun-Jih Wang; Chun-Kai Chuang; Chun-Nan Chen |
作品所屬單位
|
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出版者
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會議名稱
|
2nd IEEE international Conference on Electronic Communications |
會議地點
|
新竹市,台灣 |
摘要
|
Abstract—The datasets (temperature, wind direction, wind speed, altitude) provided by the weather station can effectively predict the ambient temperature of the nearby field. In this paper, three-months ambient temperature prediction is obtained through experiments. The accuracy rate within 5% error is increased by more than 25% at most, and the accuracy rate within 10% of the error is similar and maintained above 90%. The use of weather station datasets to predict ambient temperature is proven to be effective. |
關鍵字
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Keywords—temperature, wind direction, wind speed, altitude, weather station |
語言
|
zh_TW |
收錄於
|
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會議性質
|
國際 |
校內研討會地點
|
無 |
研討會時間
|
20220715~20220717 |
通訊作者
|
顏豪呈(Hau-Chen Yen) |
國別
|
TWN |
公開徵稿
|
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出版型式
|
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出處
|
IEEE ICEIB 2022 (Paper No.: B22001): Electronic Communications , Internet of Things and Big Data |