Browse > Article
http://dx.doi.org/10.3745/JIPS.04.0056

A Deep Belief Network for Electricity Utilisation Feature Analysis of Air Conditioners Using a Smart IoT Platform  

Song, Wei (School of Computer Science, North China University of Technology)
Feng, Ning (School of Computer Science, North China University of Technology)
Tian, Yifei (School of Computer Science, North China University of Technology)
Fong, Simon (Dept. of Computer and Information Science, University of Macau)
Cho, Kyungeun (Dept. of Multimedia Engineering, Dongguk University)
Publication Information
Journal of Information Processing Systems / v.14, no.1, 2018 , pp. 162-175 More about this Journal
Abstract
Currently, electricity consumption and feedback mechanisms are being widely researched in Internet of Things (IoT) areas to realise power consumption monitoring and management through the remote control of appliances. This paper aims to develop a smart electricity utilisation IoT platform with a deep belief network for electricity utilisation feature modelling. In the end node of electricity utilisation, a smart monitoring and control module is developed for automatically operating air conditioners with a gateway, which connects and controls the appliances through an embedded ZigBee solution. To collect electricity consumption data, a programmable smart IoT gateway is developed to connect an IoT cloud server of smart electricity utilisation via the Internet and report the operational parameters and working states. The cloud platform manages the behaviour planning functions of the energy-saving strategies based on the power consumption features analysed by a deep belief network algorithm, which enables the automatic classification of the electricity utilisation situation. Besides increasing the user's comfort and improving the user's experience, the established feature models provide reliable information and effective control suggestions for power reduction by refining the air conditioner operation habits of each house. In addition, several data visualisation technologies are utilised to present the power consumption datasets intuitively.
Keywords
Cloud Computing; Deep Belief Network; IoT; Power Conservation; Smart Metre;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Carroll, S. Lyons, and E. Denny, "Reducing household electricity demand through smart metering: the role of improved information about energy saving," Energy Economics, vol. 45, pp. 234-243, 2014.   DOI
2 R. Yang and L. Wang, "Multi-objective optimization for decision-making of energy and comfort management in building automation and control," Sustainable Cities and Society, vol. 2, no. 1, pp. 1-7, 2012.   DOI
3 M. Nachreiner, B. Mack, E. Matthies, and K. Tampe-Mai, "An analysis of smart metering information systems: a psychological model of self-regulated behavioural change," Energy Research & Social Science, vol. 9, pp. 85-97, 2015.   DOI
4 W. T. Sung and Y. C. Hsu, "Designing an industrial real-time measurement and monitoring system based on embedded system and ZigBee," Expert Systems with Applications, vol. 38, no. 4, pp. 4522-4529, 2011.   DOI
5 L. C. Huang, H. C. Chang, C. C. Chen, and C. C. Kuo, "A ZigBee-based monitoring and protection system for building electrical safety," Energy and Buildings, vol. 43, no. 6, pp. 1418-1426, 2011.   DOI
6 T. Hargreaves, M. Nye, and J. Burgess, "Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term," Energy Policy, vol. 52, pp. 126-134, 2013.   DOI
7 G. Wood and M. Newborough, "Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design," Energy and Buildings, vol. 35, no. 8, pp. 821-841, 2003.   DOI
8 U. S. Premarathne, "Reliable context-aware multi-attribute continuous authentication framework for secure energy utilization management in smart homes," Energy, vol. 93, pp. 1210-1221, 2015.   DOI
9 K. Liu, J. Peng, H. Li, X. Zhang, and W. Liu, "Multi-device task offloading with time-constraints for energy efficiency in mobile cloud computing," Future Generation Computer Systems, vol. 64, pp. 1-14, 2016.   DOI
10 A. Saha, M. Kuzlu, M. Pipattanasomporn, S. Rahman, O. Elma, U. S. Selamogullari, M. Uzunoglu, and B. Yagcitekin, "A robust building energy management algorithm validated in a smart house environment," Intelligent Industrial Systems, vol. 1, no. 2, pp. 163-174, 2015.   DOI
11 B. Zhou, W. Li, K. W. Chan, Y. Cao, Y. Kuang, X. Liu, and X. Wang, "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, vol. 61, pp. 30-40, 2016.   DOI
12 S. Zahurul, N. Mariun, I. V. Grozescu, H. Tsuyoshi, Y. Mitani, M. L. Othman, H. Hizam, and I. Z. Abidin, "Future strategic plan analysis for integrating distributed renewable generation to smart grid through wireless sensor network: Malaysia prospect," Renewable and Sustainable Energy Reviews, vol. 53, pp. 978-992, 2016.   DOI
13 M. Bharathi, V. Renu, and U. Tamilselvi, "Remote-controllable and energy- saving room architecture with security system based on Zigbee communication," International Journal of Scientific & Engineering Research, vol. 4, no. 5, pp. 2229-5518, 2013.
14 J. Burgess and M. Nye, "Re-materialising energy use through transparent monitoring systems," Energy Policy, vol. 36, no. 12, pp. 4454-4459, 2008.   DOI
15 G. Shang, Y. Chen, C. Zou, and Y. Zhu, "Design and implementation of a smart IoT gateway," in Proceedings of 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, China, 2013, pp. 720-723.
16 V. Marinakis, H. Doukas, C. Karakostaet, and J. Psarras, "An integrated system for buildings' energy-efficient automation: Application in the tertiary sector," Applied Energy, vol. 101, pp. 6-14, 2013.   DOI
17 Z. Y. Liu, "Hardware design of smart home system based on ZigBee wireless sensor network," in Proceedings of 2014 AASRI Conference on Sports Engineering and Computer Science, London, UK, 2014, pp. 75-81.
18 K. Gill, S. H. Yang, F. Yao, and X. Lu, "A ZigBee-based home automation system," IEEE Transactions on Consumer Electronics, vol. 55, no. 2, pp. 422-430, 2009.   DOI
19 J. Han, H. Lee, and K. R. Park, "Remote-controllable and energy-saving room architecture based on ZigBee communication," IEEE Transactions on Consumer Electronics, vol. 55, no. 1, pp. 264-268, 2009.   DOI
20 H. Yang and H. Lee, "Lighting scheduling for energy saving in smart house based on life log data," in Proceedings of 12th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, Eindhoven, The Netherlands, 2014, pp. 403-413.
21 J. Chou and A. S. Telaga, "Real-time detection of anomalous power consumption," Renewable and Sustainable Energy Reviews, vol. 33, pp. 400-411, 2014.   DOI
22 A. G. Paetz, E. Dutschke, and W. Fichtner, "Smart homes as a means to sustainable energy consumption: a study of consumer perceptions," Journal of Consumer Policy, vol. 35, no. 1, pp. 23-41, 2012.   DOI
23 P. Xu, J. C. Shen, X. X. Zhang, X. Zhao, and Y. Qian, "Case study of smart meter and in-home display for residential behavior change in Shanghai," Energy Procedia, vol. 75, pp. 2694-2699, 2015.   DOI
24 M. Mital, A. K. Pania, S. Damodarana, and R. Ramesh, "Cloud based management and control system for smart communities: a practical case study," Computers in Industry, vol. 74, pp. 162-172, 2015.   DOI
25 V. Mai and I. Khalil, "Design and implementation of a secure cloud-based billing model for smart meters as an Internet of things using homomorphic Cryptography," Future Generation Computer Systems, vol. 72, pp. 327- 338, 2017.   DOI
26 L. Wang, J. Xie, T. Yong, Y. Li, D. Yue, and C. Huang, "An intelligent power utilization strategy in smart building based on AIWPSO," Energy Procedia, vol. 75, pp. 2610-2616, 2015.   DOI
27 P. Smolensky, "Information processing in dynamical systems: foundations of harmony theory." in Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press, 1986.