【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(yīng)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(píng)估智能家居電力能效方面的指標(biāo)體系。首先根據(jù)全面性、客觀性、有效性原則從用戶側(cè)因素、硬件及其功能配置、環(huán)保清潔特性、環(huán)境影響4個(gè)方面初步構(gòu)建指標(biāo)體系。然后為提高指標(biāo)集科學(xué)及精煉性,在群組層次分析法及G1法的理論基礎(chǔ)上,利用層次聚類算法挖掘?qū)＜胰簼撛谠u(píng)價(jià)偏好性,并構(gòu)建三標(biāo)度模型計(jì)算指標(biāo)權(quán)重,得到弱權(quán)重指標(biāo)篩選模型。最后應(yīng)用該模型對(duì)初構(gòu)的指標(biāo)體系進(jìn)行篩選優(yōu)化,得到了最終的智能家居能效指標(biāo)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(xué)電氣信息學(xué)院;國(guó)網(wǎng)北京市電力公司;
【分類號(hào)】：TM76;TU855

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 曲朝陽(yáng);王沖;王蕾;任有學(xué);;智能用電環(huán)境下的家庭電力能效評(píng)估指標(biāo)體系[J];華東電力;2014年06期

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本文編號(hào)：2361572