Title :
Notice of Retraction
Electricity Load Forecasting based on Energy-Saving and Emission Reduction
Author :
Gu Jie ; Qin Kang-ping ; Ma Ze-liang ; Yang Zhong-lin ; Zhang Jian-ping ; Yao Liangzhong ; Cheng Hao-zhong
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In full knowledge of the energy-saving and emission reduction (ESAER) policies in China, it is analyzed in this paper what the promising new futures in electricity demand in East China in the context of ESAER. To propose the well applicable load forecasting methods for East China power grid, where the ESAER policies have being intensively implemented since 2005, the reality of economic development and industrialization in East China are also discussed. Therefore the well-used long-term forecasting methods are analyzed detailed for their respective applicability under the background of ESAER. Furthermore, in order to take the influence of ESAER policies into account in the forecasting models, the "improved Solow forecasting method" is proposed in this paper. Then these methods are used to forecast the electricity demand from the year 2009 to the year 2015 for East China power grid to check their feasibility. Finally, the forecasting results of electricity demand in East China are analyzed and compared.
Keywords :
air pollution control; economics; government policies; load forecasting; power grids; ESAER; East China power grid; economic development; electricity demand; electricity load forecasting; energy-saving and emission reduction policies; industrialization; Economic forecasting; Energy consumption; Environmental economics; Industrial economics; Load forecasting; Macroeconomics; Manufacturing industries; Power generation; Power generation economics; Power grids;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
DOI :
10.1109/APPEEC.2010.5448669