Abstract
WBGT (Wet Bulb Globe Temperature) was originally championed by the United States military and has been widely implemented in daily training to prevent casualties or injuries among soldiers due to unfavorable high temperature and humidity conditions during the summer, and it has been widely used in various fields, such as marathons, military training, and travel. Starting from the daily periodicity of WBGT, this paper uses the Holt-Winters 24 h, and discusses the feasibility of its autocorrelation prediction. The prediction results were evaluated using the time series cross-validation method and RMSE. Two experiments were conducted with the dataset acquired by NCSCO and the self-collected Dongguan University of Technology dataset(DGUT-D). First, a preliminary experiment was conducted using NCSCO data to explore the feasibility of WBGT autocorrelation pre-diction, and then the DGUT-D was used to predict the 24-h WBGT of the Songshan Lake Campus of the Dongguan University of Technology (DGUT).
Supported by the Basic and Applied Basic Research Funding Program of Guangdong Province of China (No.2019A1515110303, No.2019A1515110800, No. 2021A1515010656 and 2022B1515120059); the Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) (No. GMLKF-22-02); the National Natural Science Foundation of China (No. 62001113); the Guangdong University Key Project (No. 2019KZDXM012); the Guangdong Key Construction Discipline Research Ability Enhancement Project (No. 2021ZDJS086); the Guangdong University Key Project (No. 2019KZDXM012); the Dongguan Science and Technology of Social Development Program (No. 20221800902472 and No. 20211800904712); the Research Team Project of Dongguan University of Technology (No. TDY-B2019009).
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Ding, K., Huang, Y., Tao, M., Xie, R., Li, X., Zhong, X. (2024). WBGT Index Forecast Using Time Series Models in Smart Cities. In: Tari, Z., Li, K., Wu, H. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2023. Lecture Notes in Computer Science, vol 14490. Springer, Singapore. https://doi.org/10.1007/978-981-97-0859-8_21
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