Analysis of Load Factors Based on Interpretive Structural Model

There are so many factors of power load. The paper proposed a method of interpretive structural model that is used to analysis the factors of power load. Determine the factors of power load, establishing the interpretive structural model, seeking the solution of ratability matrix, and analyzing the relationship between various factors, finding the surface, middle and deep factors. Take risk factors which influence the power load as the objects of study, building a hierarchical structure chart and the risk transmission chain of the risk system, establishing power load forecasting model with ISM-based risk analysis. Verifying the effectiveness of the method by simulation and providing decision basis for risk management of power load forecasting.

[1]  WU Jun-yong Analysis on influencing factors of electricity demand by using interpretative structural modeling , 2009 .

[2]  J. Watada,et al.  Decision Making With an Interpretive Structural Modeling Method Using a DNA-Based Algorithm , 2009, IEEE Transactions on NanoBioscience.

[3]  Wang Quan-peng Constructing quality systems of engineering equipment based on ISM , 2005 .

[4]  Zhang Zi-jian Research of risk cause of formation of product development item based on the explanatory structural model , 2007 .

[5]  Quan Xiao-feng Research on Influencing Factors of Road Network's Vulnerability Based on Interpretive Structural Model , 2010 .

[6]  Tan Zhongfu An Interpretative Structure Model for Generalized Electric Power System , 2008 .

[7]  Hu Yan-ping,et al.  Supervision of Computer Equipment in LAN Using WMI , 2006 .

[8]  Cai Qi Urban Power Load Forecasting Based on an Interpretative Structural Model , 2009 .

[9]  Ji Xun-sheng Short-term power load forecasting on partial least square support vector machine , 2010 .

[10]  Zhao Lan-ming Medium and long term load forecasting considering data uncertainty , 2011 .

[11]  Yang Ying Analysis of the power demand side management based on ISM , 2007 .

[12]  Z. Yong Research on Factors Influencing Technology-Based Mergers and Acquisitions Synergy , 2009 .

[13]  Liao Li Short Term Load Forecasting Model and the Influencing Factors , 2004 .

[14]  Zhao Dao-zhi The Transmission Model of Controlled Quality Risks in Construction Projects , 2008 .

[15]  Jia Xiaoxia The Systematic Analysis on the Regional Risk of High Technology Projects Based on Interpreted Structural Model , 2005 .

[16]  Cai Jin-ming Study on the method of short-term load forecasting considering summer weather factors , 2010 .

[17]  Sun Qian Research on risk generating mechanisms of overseas oil and gas development projects based on an interpretative structural model , 2010 .

[18]  Fan Zhi-qing An Analysis of the Influencing Factors of Public Transportation Passenger Flow on the Base of Interpretive Structural Model , 2010 .

[19]  Zhang Haiping Analysis of Urban Power Load Based on Association Rules , 2007 .

[20]  Liu Yan RESEARCH ON INTERPRATATIVE STRUCTURE MODELING FOR RISKS OF ELECTRICITY RETAIL MARKET , 2005 .

[21]  Li Bing-xiang Interpretative Structural Modeling Method Based on Analysis of Entrepreneurs Capacity Factors , 2010 .

[22]  Ma Li-xin,et al.  The Design of Short-Term Load Forecast Systems Based on the Theory of Complex Systems , 2010, 2010 International Conference on Intelligent System Design and Engineering Application.

[23]  Gao Tian-peng Risk Analysis of E-Government Information System Based on ISM , 2005 .

[24]  Bi Zhi-peng Particle Swarm Optimization-based Grey Model for Long-term Load Forecasting , 2011 .

[25]  Dai Jun Optimization Selection of Correlative Factors for Long-term Load Prediction of Electric Power , 2008 .

[26]  Xia Qing Power System Multilevel Load Forecasting and Coordinating Part One Research Framework , 2008 .