3.8 Proceedings Paper

From water to energy: low cost water & energy consumptions readings

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2017.11.124

关键词

Water/Energy Nexus; image meter readings; CNN

资金

  1. Foundation for Science and Technology [POCI-0-0145-FEDER-016730, PTDC/AAG-REC/4700/2014]
  2. European Regional Development Fund (FEDER) through the COMPETE - Programme Operational Competitiveness and Internationalization (POCI)
  3. FCT (Portuguese Foundation for Science and Technology) [PEst-OE/ECI/UI4082/2013 (C-MADE)]
  4. Fundação para a Ciência e a Tecnologia [PTDC/AAG-REC/4700/2014] Funding Source: FCT

向作者/读者索取更多资源

Water and energy are essential for human existence, and its rational use should be encouraged. According to the literature review, water consumption directly affects energy consumption and are inseparably linked resources. The energy to water part of the water/energy nexus, increasingly highlighted as an important issue for future planning and strategic policy considerations. Joint consideration of both water/energy domains can identify new options for increasing overall resource use efficiency. This work is part of the project ENERWAT that has as goal to measure in situ the water/energy consumption related with water supply end use in rural and urban dwellings in order to validate the data collected by survey. A methodology for low cost measure and store water/energy consumes was developed. Water, Gas and electricity data was stored in image format. In this paper, a CNN architecture was applied and trained to read water/energy. The models suited their proposed. The achieved accuracy for test set was: water - dozen: 0.98, unit: 0.92; gas: dozen: 0.94, unit: 0.99; and electricity - dozen: 0.99, units 0.99. The more challenge digit was water unit digit due to partial occlusion. It is presented a day of readings and discussed some events. (C) 2017 The Authors. Published by Elsevier B.V.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据