Abstract
According to the problem that the traditional building energy audit analysis and research methods are too single, which is not applicable to the analysis of specific survey objects such as campus buildings, this article has made an audit of water, electricity and gas energy consumption for campus buildings and put forward a new research program for water and electricity consumption. Compared with the traditional method, the research on electric energy consumption has improved the traditional formula and come up with a new research model for electric energy consumption in campus buildings. And the research on water energy consumption has added the analysis of daily water consumption per person, so the overall data will be accurate to the individual and make the results more accurate. Proved by the experiments, the improved model proposed in this paper can predict the energy consumption of the investigated objects more accurately.
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Acknowledgments
This research work is supported by the grant of Guangxi science and technology development project (No: 1598018-6), the grant of Guangxi Cooperative Innovation Center of Cloud Computing and Big Data of Guilin University of Electronic Technology (No: YD16E11), the grant of Guangxi Key Laboratory of Cryptography & Information Security of Guilin University of Electronic Technology (No: GCIS201601), the grant of Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics of Guilin University of Electronic Technology (No: GIIP201602), and the grant of Innovation Project of GUET Graduate Education (2017YJCX55).
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Chen, J., Jiang, M., Xie, K., Guo, Z., Pan, H., Chen, X. (2018). A Method for Energy Consumption Audit and Intelligent Decision of Green Buildings. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_52
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DOI: https://doi.org/10.1007/978-3-030-00015-8_52
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