Hebei Electric Power Energy Structure and the Power Supply and Demand Prediction under the Low-Carbon Economy - Analysis Based on the Gray GM (1,1) Model

Abstract:

The electric power industry is the largest CO₂ emitting sector in the national economy. So optimize the power structure is an important part of energy conservation. This article selected the data of power supplydemand and the power structure in Hebei Province from 2004 to 2011 on the basis of the analysis of the power structure. It established a short-term prediction model based on gray theory, and made the power supply and demand situation and the power structure prediction of Hebei province in the next five years, and provides a reference for the scientific development of the power structure optimization of Hebei Province in the low-carbon context.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3052-3056
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3052
• Online since: September 2013
• Authors: Yuan Sheng Hang, Qing Zhu
• Keywords: Demand Predict, Electric Power Energy Structure, Gray GM (1,1) Model, Hebei Province, Power Supply

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DOI: 10.1109/peam.2011.6134862