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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.

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A Deep Belief Network for Electricity Utilisation Feature Analysis of Air Conditioners Using a Smart IoT Platform Wei Song, Ning Feng, Yifei Tian, Simon Fong, Kyungeun Cho pp.162-175

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참고문헌 (27건) : 자료제공( 네이버학술정보 )

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번호 참고문헌 국회도서관 소장유무
1 Reducing household electricity demand through smart metering: The role of improved information about energy saving 네이버 미소장
2 Multi-objective optimization for decision-making of energy and comfort management in building automation and control 네이버 미소장
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. 미소장
4 Designing an industrial real-time measurement and monitoring system based on embedded system and ZigBee 네이버 미소장
5 A ZigBee-based monitoring and protection system for building electrical safety 네이버 미소장
6 Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term 네이버 미소장
7 Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design 네이버 미소장
8 Reliable context-aware multi-attribute continuous authentication framework for secure energy utilization management in smart homes 네이버 미소장
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. 미소장
10 A Robust Building Energy Management Algorithm Validated in a Smart House Environment 네이버 미소장
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. 미소장
12 Future strategic plan analysis for integrating distributed renewable generation to smart grid through wireless sensor network: Malaysia prospect 네이버 미소장
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. 미소장
14 Re-materialising energy use through transparent monitoring systems 네이버 미소장
15 An integrated system for buildings’ energy-efficient automation: Application in the tertiary sector 네이버 미소장
16 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. 미소장
17 A zigbee-based home automation system 네이버 미소장
18 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. 미소장
19 Remote-controllable and energy-saving room architecture based on ZigBee communication 네이버 미소장
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. 미소장
21 Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions 네이버 미소장
22 Case Study of Smart Meter and In-home Display for Residential Behavior Change in Shanghai, China 네이버 미소장
23 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. 미소장
24 Design and implementation of a secure cloud-based billing model for smart meters as an Internet of things using homomorphic cryptography 네이버 미소장
25 An Intelligent Power Utilization Strategy in Smart Building Based on AIWPSO 네이버 미소장
26 J. Chou and A. S. Telaga, "Real-time detection of anomalous power consumption," Renewable and Sustainable Energy Reviews, vol. 33, pp. 400-411, 2014. 미소장
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. 미소장

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