Demand Forecasting Based on Machine Learning for Mass Customization in Smart Manufacturing
Author:
Affiliation:
1. Dept. of Smart Factory Convergence, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea
2. Dept. of Human ICT Convergence, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3335656.3335658
Reference14 articles.
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2. Tara Ahmed Chawsheen etal 2017. Seasonal time-series modeling and forecasting of monthly mean temperature for decision making in the Kurdistan Region of Iraq. Journal of Statistical Theory and Practice. (2017). Tara Ahmed Chawsheen et al. 2017. Seasonal time-series modeling and forecasting of monthly mean temperature for decision making in the Kurdistan Region of Iraq. Journal of Statistical Theory and Practice. (2017).
3. Comparison between ARIMA and ANN Models Used in Short-Term Wind Speed Forecasting
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