The Analysis of the Load Rate Influence Factors Based on the Grey Correlation

2014 ◽  
Vol 631-632 ◽  
pp. 94-98
Author(s):  
Xue jun Wang ◽  
Ji Xiang Zhang ◽  
Zhen Gao Zhang ◽  
Ming Zhi Liu
Keyword(s):  
Influence Factor ◽  
Rapid Development ◽  
Influence Factors ◽  
Key Factors ◽  
Grey Correlation ◽  
Power Characteristics ◽  
Load Rate ◽  
Grey Correlation Analysis ◽  
Influence Degree ◽  
The Relationship

With the rapid development of power industry, the load rate which describes the power characteristics is playing a more and more important role, this paper uses the grey correlation analysis to find the relationship between the load rate and the influence factors based on the historical data of the load rate influence factors and analyzes the weight of each influence factor quantitatively through the grey correlation coefficient so as to reflect the influence degree of different factors on load rate, meanwhile, through the analysis of various influencing factors of load rate, this paper hopes to clarify its effects on the load rate which includes strength, size and the order and help the power grid enterprise choose the key factors influencing the load rate which provide a basis for the future to improve the load rate.

Grey Correlation Analysis Method and its Application in the Field of Engineering

2014 ◽  
Vol 631-632 ◽  
pp. 250-253
Author(s):  
Ying Wei
Keyword(s):  
Correlation Analysis ◽  
Influence Factor ◽  
Influence Factors ◽  
Housing Price ◽  
Grey System Theory ◽  
Housing Construction ◽  
Analysis Method ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Commercial Housing

Grey system theory has been applied widely in the fields of industry and engineering such as property industry. In this paper, we study the influence factors on the housing price of property industry, and present an influence factor analysis method based on the grey correlation analysis. Then this method is used to analyze the multiple influence factors on property industry such as GDP, population, the total amount of real estate investment, commercial housing construction area, completed commercial housing area, commercial housing sales area and urban per capita disposable income, then we conclude that the commercial housing sales area and commercial housing construction area are two main influence factors on housing price.

scholarly journals The impact of air quality on its Baidu index: grey model analysis

2021 ◽  
Author(s):  
Leping Tu ◽  
Yan Chen
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Grey Correlation ◽  
Convolution Model ◽  
Grey Correlation Analysis ◽  
And Control ◽  
The Impact ◽  
The Relationship

Abstract To investigate the relationship between air quality and its Baidu index, we collect the annual Baidu index of air pollution hazards, causes and responses. Grey correlation analysis, particle swarm optimization and grey multivariate convolution model are used to simulate and forecast the comprehensive air quality index. The result shows that the excessive growth of the comprehensive air quality index will lead to an increase in the corresponding Baidu index. The number of search for the causes of air quality has the closest link with the comprehensive air quality index. Strengthening the awareness of public about air pollution is conducive to the improvement of air quality. The result provides a reference for relevant departments to prevent and control air pollution.

Unsupervised spatial data mining for the development of future scenarios: a Covid-19 application

2021 ◽  
pp. 173-178
Author(s):  
Yuri Calleo ◽  
Simone Di Zio
Keyword(s):  
Data Mining ◽  
Spatial Data ◽  
Latent Dirichlet Allocation ◽  
Spatial Information ◽  
Influence Factor ◽  
Influence Factors ◽  
Spatial Data Mining ◽  
Key Factors ◽  
Scenario Development ◽  
Data Mining Technique

In the context of Futures Studies, the scenario development process permits to make assumptions on what the futures can be in order to support better today decisions. In the initial stages of the scenario building (Framing and Scanning phases), the process requires much time and efforts to scanning data and information (reading of documents, literature review and consultation of experts) to understand more about the object of the foresight study. The daily use of social networks causes an exponential increase of data and for this reason here we deal with the problem of speeding up and optimizing the Scanning phase by applying a new combined method based on the analysis of tweets with the use of unsupervised classification models, text-mining and spatial data mining techniques. For the purpose of having a qualitative overview, we applied the bag-of-words model and a Sentiment Analysis with the Afinn and Vader algorithms. Then, in order to extrapolate the influence factors, and the relevant key factors (Kayser and Blind, 2017; 2020) the Latent Dirichlet Allocation (LDA) was used (Tong and Zhang, 2016). Furthermore, to acquire also spatial information we used spatial data mining technique to extract georeferenced data from which it was possible to analyse and obtain a geographic analysis of the data. To showcase our method, we provide an example using Covid-19 tweets (Uhl and Schiebel, 2017), upon which 5 topics and 6 key factors have been extracted. In the last instance, for each influence factor, a cartogram was created through the relative frequencies in order to have a spatial distribution of the users discussing each particular topic. The results fully answer the research objectives and the model used could be a new approach that can offer benefits in the scenario developments process.

Land Value Evaluation of Real Estate Development Project Based on Grey Correlation Analysis

2013 ◽  
Vol 438-439 ◽  
pp. 1782-1785
Author(s):  
Wei Ran Wang ◽  
Yun Xiu Sai ◽  
Xing Fang
Keyword(s):  
Real Estate ◽  
Correlation Analysis ◽  
Influence Factors ◽  
Development Project ◽  
Real Estate Development ◽  
Land Value ◽  
Analysis Model ◽  
The Real Estate ◽  
Grey Correlation ◽  
Grey Correlation Analysis

The accuracy of land value directly affects the size of the project development profit in real estate development project, more will be related to the project success and failure. According to the characteristics of the real estate development, land prices in the mature real estate, on the basis of influence factors, the grey correlation analysis model is set up by using the value of developed successful plot, to estimate the land value, and combined with examples to provide a reference for scientific decision-making to real estate developers.

Discrimination for Bidders’ Parallel String Based on the AHP–Fuzzy

2014 ◽  
Vol 584-586 ◽  
pp. 2700-2704
Author(s):  
Qi Guo ◽  
Kai Li ◽  
Zhi Ding Chen
Keyword(s):  
Correlation Analysis ◽  
Comprehensive Evaluation ◽  
Influence Factors ◽  
Fuzzy Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Grey Correlation ◽  
Annual Output ◽  
Grey Correlation Analysis

Collusion behaviors in the market are divided into three types: rotation, price alliance and compensation bid. Constructing AHP-Fuzzy model evaluates bidders’ parallel string behaviors. It is judged with the aid of grey correlation analysis and fuzzy comprehensive evaluation. Price correlation, price rationality and the annual output value rate of the total assets are taken as influence factors of comprehensive evaluation. Finally, an example proves the correctness and effectiveness of the model.

Grey Correlation Analysis Method to Analyze the Influence Factors of Attenuated Performance of Asphalt Mixture under Water-Temperature-Radiation Cycle Action

2013 ◽  
Vol 361-363 ◽  
pp. 1857-1860 ◽  
Author(s):  
Yong Chun Cheng ◽  
Peng Zhang ◽  
Yu Bo Jiao ◽  
Jing Lin Tao ◽  
Ye Dan Wang
Keyword(s):  
Mechanical Properties ◽  
Water Temperature ◽  
Asphalt Mixture ◽  
Influence Factors ◽  
Analysis Method ◽  
Cycle Index ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Correlation Analysis Method ◽  
Temperature Radiation

In order to accurately simulate the combined action of rainfall, high temperature and sunshine effect on asphalt mixture, the experiment of water-temperature-radiation circulation was designed. The changes of air void, split tensile strength, freeze-thaw splitting tensile strength and dynamic stability were quantitatively analyzed under the condition of different asphalt-aggregate ratio and different striking times during water-temperature-radiation cycle. Grey correlation analysis method was used to analyze the influence factors of the four parameters mentioned above, and comprehensive correlation was put forward to evaluate the influence factors of mechanical properties of asphalt mixture. It is proven that, the cycle index of water-temperature-radiation is the main factor. The striking times and asphalt-aggregate ratio influence mechanical properties of asphalt mixture less than the cycle index, and the initial void influences least.

Quantitative Study on the Relation between Water Disaster and Grain Production of Hubei Province

2012 ◽  
Vol 424-425 ◽  
pp. 403-409 ◽  
Author(s):  
Tao Li ◽  
Xue Lei Wang ◽  
Wei Wen ◽  
En Hua Li
Keyword(s):  
Correlation Analysis ◽  
Grain Yield ◽  
Quantitative Study ◽  
Grain Production ◽  
Grey Correlation ◽  
Quantitative Correlation ◽  
Irrigated Area ◽  
Grey Correlation Analysis ◽  
The Relationship ◽  
Water Disaster

The grain fluctuation situation of Hubei was analyzed by calculating the grain fluctuation coefficient from 1990s. And the quantitative correlation between grain production and the water disaster was studied by grey correlation analysis. The results were shown as follows. The main water disaster factors impacting grain production were effective irrigated area and planting structure, the relationship degree of which with grain yield is respectively 0.91 and 0.85 ranking the first two among all the selected factors. It was shown that water disaster influenced the grain yield heavily

scholarly journals Analysis and Experiments of Embedded Gripping Mechanism Used in Large-scale Tools Holding Up Pile Foundation in Ocean

2019 ◽  
Vol 26 (3) ◽  
pp. 15-21
Author(s):  
Zhuo Wang ◽  
Bo Zhang ◽  
Tao Wang
Keyword(s):  
Continuous Improvement ◽  
Pile Foundation ◽  
Large Scale ◽  
Rapid Development ◽  
Influence Factors ◽  
Profile Angle ◽  
Offshore Engineering ◽  
Marine Economy ◽  
Foundation Pile ◽  
The Relationship

Abstract With the rapid development of the marine economy and continuous improvement of the industry, the scale of the offshore engineering is increasing. This raises interest in studying, theoretically and experimentally, gripping and bearing mechanisms for large-scale holding and lifting tools used in foundation pile installations. In this paper, the embedded gripping mechanism is studied based on the theory of elastic-plastic mechanics. The embedded and bearing performance of the tooth is simulated and the influence factors are studied. In addition, the device used in the simplified embedded experiment on the tooth of the embedded block is designed. The relationship between embedded depth, load, and tooth profile angle is identified and validated. Meanwhile, the embedded performance of linear and ring type teeth is compared experimentally in order to select the suitable type of tooth for various situations. This comparison makes the basis for designing an upending gripper for the marine pile foundation, which can realize the operation of holding the pile to prevent its falling.

scholarly journals Grey Correlation Analysis on Travel Modes and their Influence Factors

2017 ◽  
Vol 174 ◽  
pp. 347-352 ◽  
Author(s):  
Shanshan Fang ◽  
Xinsheng Yao ◽  
Junqi Zhang ◽  
Meng Han
Keyword(s):  
Correlation Analysis ◽  
Influence Factors ◽  
Grey Correlation ◽  
Grey Correlation Analysis
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