Paper No.: B220019 (Prediction of Ambient Temperature Using Datasets of Weather Stations)
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）
著者 Hau-Chen Yen; Shun-Jih Wang; Chun-Kai Chuang; Chun-Nan Chen
作品所屬單位
出版者
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 Keywords—temperature, wind direction, wind speed, altitude, weather station
語言 zh_TW
收錄於
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
出版型式
出處 IEEE ICEIB 2022 (Paper No.: B22001): Electronic Communications , Internet of Things and Big Data
SDGS 永續城市與社區,氣候行動