The Coal Demand Prediction Based on the Grey Neural Network Model

Wanjing Wu () and Xifu Wang ()
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Wanjing Wu: Beijing Jiaotong University
Xifu Wang: Beijing Jiaotong University

A chapter in LISS 2014, 2015, pp 1337-1343 from Springer

Abstract: Abstract Along with rapid development of economy and society, the coal demand grows continuously. Therefore energy demand forecasting has important theoretic and realistic significance. This paper analyzed the influencing factors of coal demand, made use of grey prediction model, BP neural network model, and grey neural network model to forecast coal demand. Comparison of three model predictions, the forecast result of combined model is better than a single prediction model. Then using grey neural network model forecast coal demand of 2011–2016. According to the forecast results, put forward the policy recommendations about future development.

Keywords: Coal demand prediction; Grey model; BP neural network model; Grey neural network model (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_194

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DOI: 10.1007/978-3-662-43871-8_194

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