Analysis of Electricity Consumption Pattern Clustering and Electricity Consumption Behavior

Studying user electricity consumption behavior is crucial for understanding their power usage patterns.However,the traditional clustering methods fail to identify emerging types of electricity consumption behavior.To address this issue,this paper introduces a statistical analysis of clusters and evaluates the set of indicators for power usage patterns.The fuzzy C-means clustering algorithm is then used to analyze 6 months of electricity consumption data in 2017 from energy storage equipment,agricultural drainage irrigation,port shore power,and electric vehicles.Finally,the proposed method is validated through experiments,where the Davies-Bouldin index and profile coefficient are calculated and compared.Experiments showed that the optimal number of clusters is 4.This study demonstrates the potential of using a fuzzy C-means clustering algorithmin identifying emerging types of electricity consumption behavior,which can help power system operators and policymakers to make informed decisions and improve energy efficiency.

Changing Energy Consumption Behaviour: Individuals' Responsibility and Government Role

Renewable energy is clearly a very important topic nowadays. The risk and the damage that could be caused by conventional energy resources cannot be hidden. There is an enormous need that people start formulating a better attitude towards renewable energy and change their consumption behaviour. Otherwise, the future of environment and the coming generations is defiantly not going to be promising. This paper will discuss the importance of sustainable energy and how the energy related behaviour is created. It will present a framework to influence the current behaviour and push it to be more green oriented. It is also important to know till what limit are governments responsible in this change, and what are the tools that they have to push towards green direction.

Implementation of Generic AHP Evaluation System and Its Application to Impact Factors of On-Line Consumption Behavior

To implement the computation of AHP （Analytic Hierarchy Process） automatically, make the implementation independence on the platform, and to convenient the service composition and service computation, this study implemented AHP model as a Web service and stored the evaluation information as XML form. This paper introduces the overall demands of AHP evaluation system firstly, and then presents some key technologies to implement AHP evaluation system, including mainly AHP evaluation index architecture based on XML, the class of AHP model, the Web service encapsulation of AHP, the publication and invocation of AHP and the client application. At last, the system is used to analyze the impact factors of online consumption behavior.

Milk Consumption and Lactose Intolerance in Adults

Objective To investigate relations between milk consumption and lactose intolerance （LI） in adults and to explore the effect of milk consumption on lactase activity.Methods Total of 182 subjects aged 20‐70 years were recruited and interviewed by questionnaires,and their accumulative cow＇s milk intake （AMI） was calculated.LI was evaluated by hydrogen breath test （HBT）.Results A negative correlation was found between AMI and severity of observed LI symptom （r=-0.2884;P0.05）.Binary logistic regression analysis showed a negative correlation between LI and duration and frequency of milk consumption （OR,0.317 and 0.465,respectively;both P0.05） and a positive correlation between LI and amount of milk consumed per sitting （OR,6.337;P0.05）.Conclusion LI is related to various milk consumption behaviors.Most Chinese adults with LI may tolerate moderate milk consumption 160 mL.

Empirical Study on B/C Apparel Consumption Behavior Based on Data Mining Technology

In order to accurately identify the characters associated with consumption behavior of apparel online shopping, a typical B/ C clothing enterprise in China was chosen. The target experimental database containing 2000 data records was obtained based on web service logs of sample enterprise. By means of clustering algorithm of Clementine Data Mining Software, K-means model was set up and 8 clusters of consumer were concluded. Meanwhile, the implicit information existed in consumer＇s characters and preferences for clothing was found. At last, 31 valuable association rules among casual wear, formal wear, and tie-in products were explored by using web analysis and Aprior algorithm. This finding will help to better understand the nature of online apparel consumption behavior and make a good progress in personalization and intelligent recommendation strategies.

Research on Dairy Consumption of Rural Residents in Yanqing District of Beijing

Taking the rural residents in Yanqing District of Beijing as the research object,through field investigations and interviews,it is found that the main characteristics,income and expenditure level,preference and cognitive level of rural residents are the factors that affect the dairy consumption behavior of rural residents.Using the bivariate regression model for empirical analysis,it is concluded that rural residents'occupation,monthly average income,purchase expenditure and attitude towards dairy safety have a significant impact on rural residents'dairy consumption behavior,and then relevant constructive suggestions are put forward to guide rural residents'balanced consumption.

An Empirical Study on Agritainment Consumption Behavior of Urban Residents——A Case Study of Huangpi District of Wuhan City

Based on the theory of consumer behavior,with reference to theories of the tourism,according to EBM model in consumer behavior model,it analyzed the agritainment consumption behavior through building a three-stage model for the agritainment consumption behavior,namely decision stage before travel,travel stage,and evaluation stage after consumption. Taking the urban residents of Huangpi District of Wuhan City as the research objects,using SPSS software,it designed the questionnaire and conducted the survey of agritainment tourists,and analyzed basic characteristics of tourists and their consumption behavior characteristics. In conclusion,the age of tourists has a significant influence on their choice of destination,information channel,and entertainment activities. It is recommended that operators of agritainment can set up entertainment activities according to different age of tourists and transmit information to the right tourists in the right place.

Consumption Motivation and Behavior of College Students in Western-style Fast Food Restaurants on Campus

Based on the questionnaire survey data of college students in Wuhan,this paper studied the motivation of consumption behavior of college students in western-style fast food restaurants on campus,and built a relationship model for consumption motivation and behavior. The results indicate that the consumption motivation of college students in western-style fast food restaurants includes six types: social motivation,conformity motivation,show-off motivation,self-hedonic motivation,quality-pursuing motivation,and self-gift giving motivation. The overall characteristics of college students' consumption behavior in western-style fast food restaurants include six characteristics: consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. There are significant differences in the consumption behavior between different college students. Different college students are different in consumption period,consumption frequency,ways of information access,consumption amount,product preference,and consumption willingness. Based on the above results,it came up with pertinent marketing recommendations.

Positive study on the construction of consumption online platforms in colleges ＆ universities

Currently, online shopping has become an option in people＇s daily consumption, especially for large groups of college students. Based on the practical research of consumers groups of college students, this paper analyzes the affecting factors on consumers＇ satisfaction among groups of college students, and also tests the affecting factors. Thus, the authors give their proposals on how to build the consumer online platforms in colleges and universities, and the prospects forecast on the campus online market.

Analysis of the Current Situation of Sports Consumption of Students Majoring in Physical Education in Yichun University

This study takes the physical education majors of Yichun College of Physical Education as the research object,and makes use of the mathematical statistics,method of questionnaire,method of interview versus literature method to conduct sports consumption from the basic situation of sports consumption and sports consumption level of the students.Research and analysis,to understand the current situation of sports consumption of the students.The research results show that the sports consumption expenditure of the professional students has a higher proportion in the overall consumption,and the sports consumption behavior is more frequent,but there are big differences in the purpose and consumption classification of sports consumption.This survey can provide targeted opinions for the physical education students of Yichun College and the sports consumption of colleges and universities nationwide,and also than I hope to provide a feasible reference for the development of China's sports industry.

The Relationship between Consumers'Public Self-consciousness and their Purchase Intention of the New Luxury Goods

The era of consumption upgrade has begun due to the rapid economic development.Nowadays,the new luxuryconsumption is prevailing,and China has emerged as the primary consumer of these luxury goods.Based on the public self-consciousness of consumers,the relationship between this aspect and consumers'purchase intentions of the new luxury goodsis explored.This study investigated the impact of consumers'public self-consciousness on their willingness to purchase newluxury goods,validated the proposed hypothesis by design experiments,and used the linear regression analysis of theexperimental data.This study showed that the higher the consumer's public self-consciousness,the more inclined they wereto purchase these luxury goods.The findings of this study would be helpful to expand and enrich the researeh of the newluxury consumption behaviors in consideration that public self-consciousness is hardly reflected in recent research.Hence,this study would enlighten and acts as a significant reference for companies of the new luxury goods to develop more effectivemarketing strategies.

Evolutionary Game-theoretic Analysis for Residential Users Considering Integrated Demand Response

As an important part of demand side,residential users have the characteristics of imperfect rationality and strong randomness,which are rarely considered in the existing study.Moreover,to effectively improve the energy efficiency,integrated demand response(IDR)is proposed as an effective measure to reduce the local energy supply pressure.This paper focuses on a scenario for IDR programs,in which the intelligent building aggregator(IBA)wants to encourage residential users to participate in IDR according to a proper contract price policy.To analyze how the participation degree tendency evolves over time,an evolutionary game approach is proposed considering residential users’bounded-rationality.A symmetric evolutionary game model and an asymmetric evolutionary game model are established,and the stability of equilibrium points in the above models is proven.Simulation results show that different contract price policies will obviously influence residential users’strategy,and affect the stable equilibrium points of the evolutionary game.The simulation results provide an effective reference for IBA to set proper and effective price incentives.