Agricultural product price forecasting methods: research advances and trend

L Wang, J Feng, X Sui, X Chu, W Mu - British Food Journal, 2020 - emerald.com
Purpose The purpose of this paper is to provide reference for researchers by reviewing the
research advances and trend of agricultural product price forecasting methods in recent …

Corn cash price forecasting with neural networks

X Xu, Y Zhang - Computers and Electronics in Agriculture, 2021 - Elsevier
We explore the forecasting issue in a data set of daily corn cash prices from nearly 500
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …

Thermal coal futures trading volume predictions through the neural network

B **, X Xu, Y Zhang - Journal of Modelling in Management, 2025 - emerald.com
Purpose Predicting commodity futures trading volumes represents an important matter to
policymakers and a wide spectrum of market participants. The purpose of this study is to …

[HTML][HTML] Edible oil wholesale price forecasts via the neural network

X Xu, Y Zhang - Energy Nexus, 2023 - Elsevier
For a wide spectrum of agricultural market participants, building price forecasts of various
agricultural commodities has always been a vital project. In this work, we approach this …

Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products

X Xu, Y Zhang - Mineral Economics, 2023 - Springer
Forecasting commodity prices is a vital issue to a wide spectrum of market participants and
policy makers in the metal sector. In this work, the forecast problem is investigated by …

Wholesale food price index forecasts with the neural network

X Xu, Y Zhang - International Journal of Computational Intelligence …, 2023 - World Scientific
Food price forecasts in the agricultural sector have always been a vital matter to a wide
variety of market participants. In this work, we approach this forecast problem for the weekly …

Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level

X Xu, Y Zhang - Ironmaking & Steelmaking, 2023 - journals.sagepub.com
There is little doubt about importance of forecasting commodity prices to policy makers and
diverse varieties of market participants. In this present work, we analyse price forecasting …

Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China

T **ong, C Li, Y Bao - Neurocomputing, 2018 - Elsevier
In view of the importance of seasonal forecasting of agricultural commodity price, particularly
vegetable prices, and the limited research attention paid to it previously, this study proposes …

Deep long short-term memory based model for agricultural price forecasting

R Jaiswal, GK Jha, RR Kumar, K Choudhary - Neural Computing and …, 2022 - Springer
Agricultural price forecasting is one of the research hotspots in time series forecasting due to
its unique characteristics. In this paper, we developed a deep long short-term memory …

Neural network-based interval forecasting of construction material prices

M Mir, HMD Kabir, F Nasirzadeh, A Khosravi - Journal of Building …, 2021 - Elsevier
Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …