scholarly journals User Deep Energy Efficiency Evaluation via Load Perception and Clustering

2021 ◽  
Vol 2078 (1) ◽  
pp. 012007
Author(s):  
Shuran Zhai ◽  
Zhaojie Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Electricity Consumption ◽  
Fuzzy Comprehensive Evaluation ◽  
Efficiency Evaluation ◽  
Fuzzy Evaluation ◽  
Consumption Behaviour ◽  
Energy Efficiency Evaluation

Abstract With the constantly upgrading of the living level of urban residents, the types and quantities of domestic appliances continue to increase, and the electricity consumption behaviour is becoming more and more complex. Based on the fine-grained user energy consumption data obtained by load intelligent perception, this paper proposes a user energy efficiency evaluation method through fuzzy comprehension evaluation. First, the energy consumption characteristics at appliance level which can effectively represent energy consumption behaviour of users are designed and filtered, and then the energy efficiency evaluation strategy of appliances based on fuzzy comprehensive evaluation is established. The strategy adopts two-level fuzzy comprehensive evaluation. The first appliance-level fuzzy evaluation realizes the energy efficiency evaluation of the appliances. The second level is the comprehensive evaluation of user energy efficiency based on the appliance energy efficiency assessment, and the target users are divided into different energy efficiency levels. The measured data-based analysis results prove the effectiveness of the proposed method, and the results can guide users to optimize their electricity consumption behaviour scientifically and realize energy saving and carbon reduction.

Efficiency Evaluation Model of Power Transmission & Transformation Project Investment Based on AHP-Fuzzy Method

2013 ◽  
Vol 732-733 ◽  
pp. 1303-1307 ◽  
Author(s):  
Gui Shen Tian ◽  
Ji Cheng Liu ◽  
Jing Jing Zhou ◽  
Jun Li Liu ◽  
Bing Li
Keyword(s):  
Evaluation Method ◽  
Power Transmission ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Efficiency Evaluation ◽  
Fuzzy Evaluation ◽  
Evaluation Result ◽  
Evaluation Matrix

This article builds an efficiency evaluation model. Using AHP method, an evaluation indicator system is established, and the weights of the indicators are calculated. This paper applies Fuzzy Evaluation method to determine the membership function of qualitative and quantitative indicators, and then synthesizes the indicator weights and the evaluation matrix to get the fuzzy comprehensive evaluation result. Finally, a case of a certain power transmission & transformation project is studied, and the comprehensive evaluation result of its economic benefit is moderate.

scholarly journals THE PROBLEMS AND COUNTERMEASURES OF BRINGING COLLEGE SPORTS RESOURCES INTO THE PUBLIC SERVICE SYSTEM OF NATIONAL FITNESS IN THE NEW ERA

2021 ◽  
Vol 27 (spe) ◽  
pp. 94-96
Author(s):  
Zhonglin Ma
Keyword(s):  
Public Service ◽  
Evaluation Method ◽  
Service System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
New Era ◽  
The Public ◽  
Comprehensive Evaluation Method

ABSTRACT With the deepening of the national health program, the number of people participating in sports activities is increasing, and the problem of insufficient community sports resources is becoming more and more obvious. It is an effective way of solving the problem of injecting sports resources into the public service system of national fitness, but the process of integration of sports resources and public national fitness service is not smooth. Through expert consultation and a fuzzy comprehensive evaluation method, this study analyzed the current situation of university sports resources into the public service system of national fitness, and collected the evaluation of social fitness personnel on the opening of university resources by means of a questionnaire combined with experts' opinions, using a fuzzy comprehensive evaluation method to transform subjective and fuzzy evaluation into objective and specific evaluation points. The research shows that the current level of university sports resources into the public service system of national fitness is low, which shows that the sports resources sharing policy under the national fitness has not been well implemented. The study proposes that the level of sharing of sports resources can be strengthened by the awareness of sharing of sports resources by university leaders and improving the management system. This study is expected to represent a reference for the university sports resources into the public service system of national fitness in the new era.

Customer knowledge management competence evaluation of tourism enterprises based on ahp-fuzzy comprehensive evaluation method

2021 ◽  
pp. 1-13
Author(s):  
Guoyi Chen ◽  
Jiansheng Zhang ◽  
Shangmin Zhang ◽  
Bangquan Yan
Keyword(s):  
Knowledge Management ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Customer Knowledge ◽  
Customer Knowledge Management ◽  
Factors Influencing ◽  
Tourism Enterprises

With the fierce competition under the background of knowledge-based economy, tourism enterprises are increasingly aware that they must turn their focus from traditional products to customers for the sake of survival and development. Integrating the customer relationship management and knowledge management, the customer knowledge management (CKM) has aroused higher attention from the tourism enterprises. As for how to determine the factors influencing the Customer knowledge management competence (CKMC) of tourism enterprises and their weights, an index system was established for evaluating CKMC of tourism enterprises based on the balanced score card (BSC) and knowledge management process, the weight design and consistency check of the indexes were implemented using the analytic hierarchy process (AHP), and the overall evaluation value and concrete index scores at all levels were obtained via the fuzzy comprehensive evaluation model. In the end, the scientificity and operability of the evaluation model were verified through an empirical analysis of China Youth Travel Service (CYTS). The results show that: (1) The business process, customer communication, system support, and market performance are important level I indexes used to measure the CKMC; (2) The key Level II factors influencing the CKMC of enterprises include customer knowledge sharing mechanism, timeliness of customer communication, degree of importance attached by senior leadership, and customer acquisition rate; (3) The evaluation model based on AHP and fuzzy evaluation method can objectively describe the overall up-to-standard degree of enterprises’ CKMC, and clearly identify the strengths and weaknesses. This research shows that the combination of AHP and fuzzy evaluation-based method is capable of more scientific and complete evaluation of CKMC, compensates for the deficiencies of single evaluation model, and provides a new method for the effective improvement of enterprises’ CKMC.

scholarly journals Energy efficiency evaluation method for submersible pushingflow agitator for sewage treatment

2018 ◽  
Vol 53 ◽  
pp. 04012
Author(s):  
Zhang Xiaoxin ◽  
Huang Jin ◽  
Lin Ling ◽  
Wang Yueping ◽  
Zhang Xinheng
Keyword(s):  
Energy Efficiency ◽  
Evaluation Method ◽  
Sewage Treatment ◽  
Efficiency Evaluation ◽  
Calculation Formula ◽  
Factors Affecting ◽  
Research Advance ◽  
Energy Efficiency Evaluation ◽  
At Home

This paper introduced the development and research advance of the submersible pushing-flow agitator for sewage treatment at home and abroad. By analyzing four factors affecting the energy efficiency of the submersible pushing-flow agitator, the energy efficiency evaluation method and calculation formula of the submersible pushing-flow agitator for sewage treatment in China are analyzed and discussed in this paper.

Energy Consumption and Energy Saving Research Status of Air Compressor System

2014 ◽  
Vol 628 ◽  
pp. 225-228
Author(s):  
Xiao Lin Tian ◽  
Shou Gen Hu ◽  
Hong Bo Qin ◽  
Jun Zhao ◽  
Ling Yuan Ran
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Compressed Air ◽  
Efficiency Evaluation ◽  
Air Compressor ◽  
Research Status ◽  
Air System ◽  
Energy Efficiency Evaluation ◽  
At Home

As the most widely used fourth energy, compressed air system has high operating costs. The research about energy consumption and energy optimization measures of compressed air system has become the new field to achieve energy saving among countries all over the world. In recent years, air compressor system researches in energy consumption, influence factors, energy saving technologies and energy efficiency evaluation have been carried out at home and abroad, and some achievements have been achieved. This paper summarizes energy consumption research status of air compressor system at home and abroad, and energy-saving technologies of compressed air in generation link, treatment link and gas link, and energy efficiency evaluation methods for of air compressor systems. Potentials and drawbacks of current researches are analyzed simultaneously. In the end energy-saving development directions of air compressor system are predicted.

Entropy Weight Multi-Level Fuzzy Comprehensive Evaluation in Power Plant Security Based on Reliability Identification

2012 ◽  
Vol 482-484 ◽  
pp. 2390-2395
Author(s):  
De Qiang Li
Keyword(s):  
Power Plant ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Security Evaluation ◽  
Fuzzy Evaluation ◽  
Entropy Weight ◽  
Multi Level

In the paper, we establish an evaluation system in the study of four aspects such as people, regulation, equipment and technology management, field management and engineering construction. We present an entropy weight multi-level fuzzy comprehensive evaluation model in power plant security on the basis of reliability identification. Firstly, it identifies the reliability of power plant security evaluation system. Secondly, it can meet the condition that the system is reliable. Then it obtains the indicator weight of all levels in the evaluation system by the entropy weight method. Finally, it carries out a comprehensive evaluation in power plant security by the multi-level fuzzy evaluation method.

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