1. Sui, G., Zhang, G.: Analysis and forecast research on period characteristics of my country’s coal price fluctuation. China Coal 41(12), 19–23 (2015)
2. Ilbeigi, M., Joukar, A., Ashuri, B.: Modeling and forecasting the price of asphalt cement using generalized auto regressive conditional heteroscedasticity. In: Construction Research Congress, pp. 698–707 (2016)
3. Panachev, A.A., Komotskiy, E.I., Berg, D.B., Atanasova, T.B.: Prediction of ferrous scrap price: neural network model application. In: AIP Conference Proceedings, vol. 30, no. 11, p. 0500131-4 (2018)
4. Luo, Z., Bu, Y.: Research on price forecasting method of building materials based on grey neural network PGNN model. Constr. Econ. China 41(11), 115–120 (2020)
5. Feng, C.-W., Chiang, Y.-H.: Hybridizing deep learning with Google trends to predict rebar price fluctuation in Taiwan. J. Chin. Inst. Civil Hydraul. Eng. 33(8), 595–604 (2021)