智能家居用電能效指標體系研究
發(fā)布時間:2018-11-27 17:39
【摘要】:作為智能電網(wǎng)在智能用電方面的重要一部分,智能家居應具有優(yōu)化居民用電方式、提高能耗效率的作用,因此提出評估智能家居電力能效方面的指標體系。首先根據(jù)全面性、客觀性、有效性原則從用戶側因素、硬件及其功能配置、環(huán)保清潔特性、環(huán)境影響4個方面初步構建指標體系。然后為提高指標集科學及精煉性,在群組層次分析法及G1法的理論基礎上,利用層次聚類算法挖掘專家群潛在評價偏好性,并構建三標度模型計算指標權重,得到弱權重指標篩選模型。最后應用該模型對初構的指標體系進行篩選優(yōu)化,得到了最終的智能家居能效指標體系。
[Abstract]:As an important part of smart grid in smart power consumption, smart home should have the function of optimizing household power consumption mode and improving energy consumption efficiency. Therefore, an index system to evaluate the energy efficiency of smart home power is proposed. Firstly, according to the principles of comprehensiveness, objectivity and validity, the index system is constructed from four aspects: user side factors, hardware and its function configuration, environmental protection and cleanliness, and environmental impact. Then in order to improve the index set science and refinement, based on the theory of Group Analytic hierarchy process (AHP) and G1 method, the hierarchical clustering algorithm is used to mine the potential evaluation preference of expert group, and the three-scale model is constructed to calculate the index weight. The weak weight index screening model is obtained. Finally, the model is used to select and optimize the initial index system, and the final energy efficiency index system of smart home is obtained.
【作者單位】: 四川大學電氣信息學院;國網(wǎng)北京市電力公司;
【分類號】:TM76;TU855
[Abstract]:As an important part of smart grid in smart power consumption, smart home should have the function of optimizing household power consumption mode and improving energy consumption efficiency. Therefore, an index system to evaluate the energy efficiency of smart home power is proposed. Firstly, according to the principles of comprehensiveness, objectivity and validity, the index system is constructed from four aspects: user side factors, hardware and its function configuration, environmental protection and cleanliness, and environmental impact. Then in order to improve the index set science and refinement, based on the theory of Group Analytic hierarchy process (AHP) and G1 method, the hierarchical clustering algorithm is used to mine the potential evaluation preference of expert group, and the three-scale model is constructed to calculate the index weight. The weak weight index screening model is obtained. Finally, the model is used to select and optimize the initial index system, and the final energy efficiency index system of smart home is obtained.
【作者單位】: 四川大學電氣信息學院;國網(wǎng)北京市電力公司;
【分類號】:TM76;TU855
【參考文獻】
相關期刊論文 前10條
1 曲朝陽;王沖;王蕾;任有學;;智能用電環(huán)境下的家庭電力能效評估指標體系[J];華東電力;2014年06期
2 楊小彬;李和明;尹忠東;蔣利民;孟s,
本文編號:2361573
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