Analyzing Price Forecasting of Grocery Products in Bangladesh: A Comparison of Time Series Modeling Approaches

Author:

Hoque Md Mahmudul,Ahmed IkbalORCID,Banik NayanORCID,Hoque Mohammed MoshiulORCID

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Adithya Ganesan, V., Divi, S., Moudhgalya, N.B., Sriharsha, U., Vijayaraghavan, V.: Forecasting food sales in a multiplex using dynamic artificial neural networks. In: Science and Information Conference, pp. 69–80. Springer (2019)

2. Advancing Analytics: 10 incredibly useful time series forecasting algorithms, 15 Feb 2022. https://www.advancinganalytics.co.uk/blog/2021/06/22/10-incredibly-useful-time-series-forecasting-algorithms

3. Chadalavada, R., Raghavendra, S., Rekha, V.: Electricity requirement prediction using time series and Facebook’s prophet. Indian J. Sci. Technol. 13(47), 4631–4645 (2020)

4. Humanitarian Data Exchange: Bangladesh—food prices. https://data.humdata.org/dataset/wfp-food-prices-for-bangladesh

5. Humanitarian Data Exchange: The humanitarian data exchange (2014). https://data.humdata.org/

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