Forecasting Chinese Energy Supply and Demand Situation with BP Neural Network

Lin Yun Zhang; Jin Chang Li

doi:10.4028/www.scientific.net/AMR.869-870.541

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 869-870Forecasting Chinese Energy Supply and Demand...

Forecasting Chinese Energy Supply and Demand Situation with BP Neural Network

Abstract:

This paper utilizes back propagation (BP) neural network to make a prediction to a number of Chinese energy supply and demand indictors during the years of 2000 and 2011, and acquires the supply and demand as well as insufficiency percentage of Chinese total energy supply and demand, raw coal, crude oil, natural gas, hydropower, nuclear power, wind power, and generating capacity from 2012 to 2025, from which it is found out that the total energy is still on the stage of short supply, where traditional energy such as coal and oil will decrease, and be replaced by new energy including natural gas, hydropower, nuclear power, wind power, and so forth.

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Periodical:

Advanced Materials Research (Volumes 869-870)

Pages:

541-544

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.869-870.541

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Online since:

December 2013

Authors:

Lin Yun Zhang*, Jin Chang Li

Keywords:

BP Neural Network (BPNN), Energy Supply and Demand, Prediction

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