Determination of consumer behavior based energy wastage using IoT and machine learning
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Chau Yuen | Naveed Ul Hassan | Reeba Raza | C. Yuen | N. Hassan | R. Raza
[1] B. P. Numbi,et al. Energy cost saving potential in educational buildings-case study of MUT campus , 2017, 2017 International Conference on the Industrial and Commercial Use of Energy (ICUE).
[2] Linda Steg,et al. What Drives Energy Consumers?: Engaging People in a Sustainable Energy Transition , 2018, IEEE Power and Energy Magazine.
[3] Imran A. Zualkernan,et al. A smart home energy management system using IoT and big data analytics approach , 2017, IEEE Transactions on Consumer Electronics.
[4] Tarik Kousksou,et al. Energy consumption and efficiency in buildings: current status and future trends , 2015 .
[5] G. T. Gardner,et al. Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions , 2009, Proceedings of the National Academy of Sciences.
[6] Saifur Rahman,et al. Development of physical-based demand response-enabled residential load models , 2013, IEEE Transactions on Power Systems.
[7] Wayes Tushar,et al. System Design of Internet-of-Things for Residential Smart Grid , 2016, ArXiv.
[8] Tianzhen Hong,et al. Smart building management vs. intuitive human control—Lessons learnt from an office building in Hungary , 2017 .
[9] Joyce Kim,et al. Personal comfort models – A new paradigm in thermal comfort for occupant-centric environmental control , 2018 .
[10] Kazem Sohraby,et al. IoT Considerations, Requirements, and Architectures for Smart Buildings—Energy Optimization and Next-Generation Building Management Systems , 2017, IEEE Internet of Things Journal.
[11] Pushpendra Singh,et al. Monitor: An Abnormality Detection Approach in Buildings Energy Consumption , 2018, 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC).
[12] Saifur Rahman,et al. A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units , 2018, 2018 IEEE International Smart Cities Conference (ISC2).
[13] Kristin L. Wood,et al. Data Driven Electricity Management for Residential Air Conditioning Systems: An Experimental Approach , 2019, IEEE Transactions on Emerging Topics in Computing.
[14] Standard Ashrae. Thermal Environmental Conditions for Human Occupancy , 1992 .
[15] Chau Yuen,et al. Optimal Meeting Scheduling in Smart Commercial Building for Energy Cost Reduction , 2018, IEEE Transactions on Smart Grid.
[16] Nan Li,et al. Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations , 2012 .
[17] Shreyas Sen,et al. Self-Optimizing IoT Wireless Video Sensor Node With In-Situ Data Analytics and Context-Driven Energy-Aware Real-Time Adaptation , 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.
[18] Liu Yang,et al. Thermal comfort and building energy consumption implications - A review , 2014 .
[19] Arijit Raychowdhury,et al. In-sensor analytics and energy-aware self-optimization in a wireless sensor node , 2017, 2017 IEEE MTT-S International Microwave Symposium (IMS).
[20] Yuren Zhou,et al. Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques , 2019, Applied Energy.
[21] Chongxin Huang,et al. Energy Optimization of HVAC Systems in Commercial Buildings Considering Indoor Air Quality Management , 2019, IEEE Transactions on Smart Grid.
[22] Zoltán Nagy,et al. Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review , 2018 .
[23] Franklin P. Mills,et al. Rethinking the role of occupant behavior in building energy performance: A review , 2018, Energy and Buildings.
[24] Shichao Liu. Personal thermal comfort models based on physiological parameters measured by wearable sensors , 2018 .
[25] Kumar Saurav,et al. An IoT-Based Data Driven Precooling Solution for Electricity Cost Savings in Commercial Buildings , 2019, IEEE Internet of Things Journal.
[26] H. Vincent Poor,et al. Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence , 2018, IEEE Signal Processing Magazine.
[27] P. Wargocki,et al. Literature survey on how different factors influence human comfort in indoor environments , 2011 .
[28] Arijit Raychowdhury,et al. Smart Sensing for HVAC Control: Collaborative Intelligence in Optical and IR Cameras , 2018, IEEE Transactions on Industrial Electronics.
[29] P. O. Fanger,et al. Thermal comfort: analysis and applications in environmental engineering, , 1972 .
[30] T. S. Liu,et al. Automatic Control System for Thermal Comfort Based on Predicted Mean Vote and Energy Saving , 2015, IEEE Transactions on Automation Science and Engineering.