The Gray Correlation Research on the Sustainable Development of Beijing and Industrial Structure Based on 3EDSS

You, Li Luan; Wang, Mo Yu; Guo, Wen; Shen, Xiao Liu

doi:10.4028/www.scientific.net/amr.361-363.1153

Cited by 3 publications

(2 citation statements)

References 1 publication

(1 reference statement)

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“…The 3EDSS system uses the human-computer interaction method to analyze the index data and apply the mathematical model. It can provide decision-makers with policy advice guidance, improve energy-economy-environment sustainable development, and reflect the significance of decision support [14]. In addition, the global Energy Architecture Performance Index (EAPI) and Global Energy Interconnection Development Index (GEIDI) are well-known in the world.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

Zhang

Pang

2019

Mathematical Problems in Engineering

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To promote the energy structure adjustment and clean energy development, this paper evaluates the global clean energy development level. Firstly, the global clean energy development level evaluation index system is established based on index system construction principles; secondly, the comprehensive weight is determined based on additive integration model, which is used to combine subjective and objective weights. Moreover, the variance minimal optimization method is used to select the combination scheme of dimensionless method and objective weight method, which could avoid the influence from subjective selection of method and enhance the stability of weighting. Thirdly, grey relational degree method and logarithmic range method are applied to evaluate the global clean energy development level. Then using the compatibility degree maximization and difference degree minimization model considers the compatibility and difference degree of the various comprehensive evaluation methods results and chooses the result with the maximization compatibility degree and minimization difference degree as the final evaluation scheme, which makes the evaluation result more scientific, robust, and reasonable. Finally, this paper empirically analyzes the 66 countries in the world to verify the effectiveness of the method and evaluates the development level of the region according to the spatial distribution map of the development level.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

Zhang

Pang

2019

Mathematical Problems in Engineering

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“…In this paper, the guiding ideology of building 3E decision support platform includes the focus of the 3E sustainable development (You et al, 2011), the integration of Beijing and China Major cities' 3E indicator data in ten years (Wang et al, 2009b), the OLAP analysis tools, common computing analysis tools, the latest achievement of scientific research, as well as policies and regulations in the recent years. Figure 2 describes the framework of the 3E decision support platform (Wang and Shen, 2009 This paper provides a definition for the specific functions of the 3E decision support platform, including the mathematical computation software, the comparative analysis (Liu et al, 2012b), the OLAP analysis, the prediction and warning (Wang et al, 2009a), and the applied research (Wang et al, 2011a).…”

Section: Introduction Of 3e Decision Support Platformmentioning

confidence: 99%

Study of Energy Saving and Emission Reduction based on the OLAP Multi-Indicator Relational Model

et al. 2012

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ABSTRACT.The research related to energy-saving and emission-reduction can be helpful in designing the energy-saving development mode. The conventional methods for energy-saving and emission-reduction usually take a long time to estimate the effects under different modes, and their estimations may have many errors with long-term economic and environmental impacts. The environmental protection and economic development are interrelated with each other; a balanced development has to be taken into account synthetically. Since the relationship between economy and environment is complex, this paper studies the effects of the two indicators, and identifies their key impact on achieving energy-saving and emission-reduction. This paper conducts a thorough study on the economic and environmental developments in Beijing based on the OLAP multi-indicator relational model. The relation quantization function can be obtained and the energy-saving and emission-reduction from the perspective of the quantitative multi-indicator relationship can be studied in this study.

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Index System Construction and Research of Inexact Influence Analysis Model of Energy Risk System

Wang

Bai

et al. 2013

AMR

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With the growing tension of the energy resources, energy risk has become the core of common concern. In this paper, the definition and the cause of energy risk analysis, combined with the analytic hierarchy process (AHP) construct the comprehensive risk-based energy industry index system. According to the viewpoint of information theory, the entropy method to calculate the objective factors, to measure the information content of the Beijing Energy Risk indicators inexact. By visual comparison of each indicator entropy, research the impact of various indicators of system.

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The Gray Correlation Research on the Sustainable Development of Beijing and Industrial Structure Based on 3EDSS

Cited by 3 publications

References 1 publication

Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

Study of Energy Saving and Emission Reduction based on the OLAP Multi-Indicator Relational Model

Index System Construction and Research of Inexact Influence Analysis Model of Energy Risk System

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