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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Price Prediction of Pu'er tea based on ARIMA and BP Models.

• Authors : Dou, Zhi-wu (AUTHOR); Ji, Ming-xin (AUTHOR); Wang, Man (AUTHOR)

Subjects: BOX-Jenkins forecasting; DEMAND forecasting; TEA tradeYUNNAN Sheng (China); CHINA

• Source: Neural Computing & Applications. Mar2022, Vol. 34 Issue 5, p3495-3511. 17p.

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Materials Inventory Optimization Using Various Forecasting Techniques and Purchasing Quantity in Packaging Industry.

• Authors : Dinata, Melissa Christian¹ ; Suharjito, Suharjito¹

Subjects: *BOX-Jenkins forecasting; *PACKAGING industry; LOW density polyethylene

• Source: Journal of Industrial Engineering & Management. 2024, Vol. 17 Issue 2, p321-343. 23p.

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Deep learning models for forecasting aviation demand time series.

• Authors : Kanavos, Andreas (AUTHOR); Kounelis, Fotios (AUTHOR); Iliadis, Lazaros (AUTHOR)

Subjects: BOX-Jenkins forecasting; DEEP learning; TIME series analysis

• Source: Neural Computing & Applications. Dec2021, Vol. 33 Issue 23, p16329-16343. 15p.

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All Hail the Flatline Forecast!

• Authors : KOLASSA, STEPHAN¹

Subjects: *BOX-Jenkins forecasting; *BUSINESS schools; *BUSINESS forecasting

• Source: Foresight: The International Journal of Applied Forecasting. 2023 Q3, Issue 70, p62-63. 2p.

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Does demand forecasting matter to retailing?

• Authors : de Almeida, Wesley Marcos (AUTHOR); da Veiga, Claudimar Pereira (AUTHOR)

Subjects: DEMAND forecasting; BOX-Jenkins forecasting; DECISION making

• Source: Journal of Marketing Analytics. Jun2023, Vol. 11 Issue 2, p219-232. 14p.

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A prior-knowledge-based time series model for heat demand prediction of district heating systems.

• Authors : Zhang, Yiwen¹ (AUTHOR); Tian, Xiangning^2,3 (AUTHOR); Zhao, Yazhou¹ (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *TIME series analysis; *FORECASTING

• Source: Applied Thermal Engineering. Sep2024, Vol. 252, pN.PAG-N.PAG. 1p.

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Evaluation performance of time series methods in demand forecasting: Box-Jenkins vs artificial neural network (Case study: Automotive Parts industry).

• Authors : Farimani, Nasser Motahari (AUTHOR); Parsafar, Pedram (AUTHOR); Mohammadi, Shiva (AUTHOR)

Subjects: DEMAND forecasting; BOX-Jenkins forecasting; TIME series analysis

• Source: Journal of Statistical Computation & Simulation. Nov2022, Vol. 92 Issue 17, p3639-3658. 20p.

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Energy Pattern Classification and Prediction in an Educational Institution using Deep Learning Framework.

• Authors : Dharssini, A. C. Vishnu (AUTHOR); Charles Raja, S. (AUTHOR); Karthick, T. (AUTHOR)

Subjects: DEEP learning; BOX-Jenkins forecasting; ENERGY consumptionMADURAI (India)

• Source: Electric Power Components & Systems. 2022, Vol. 50 Issue 11/12, p615-635. 21p.

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