Comfort-aware home energy management under market-based demand-response
Jin Xiao,Jian Li,Raouf Boutaba,James Won-Ki Hong +3 more
- pp 10-18
TLDR
This paper presents near-optimal algorithm designs for energy management at home that is incentive-compatible with market-based Demand-Response programs under explicit user comfort constraints and shows the effectiveness of the algorithms through simulation studies based on real energy pricing and consumption data in South Korea.Abstract:
To regulate energy consumption and enable Demand-Response programs, effective demand-side management at home is key and an integral part of the future Smart Grid. In essence, the home energy management is a mix between discrete appliance scheduling problem with deadlines and continuous Heating, Ventilation and Cooling (HVC) device control problem. In this paper, we present near-optimal algorithm designs for energy management at home that is incentive-compatible with market-based Demand-Response programs under explicit user comfort constraints. Theoretical analysis aside, we also show the effectiveness of our algorithms through simulation studies based on real energy pricing and consumption data in South Korea.read more
Citations
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Proceedings ArticleDOI
Smart home energy management systems survey
TL;DR: In this paper, the authors reviewed the concept of energy management systems for residential customers and looked into the background of smart home energy management system technologies, highlighting the major components, and comparatively analyzes various technological approaches.
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Conceptual framework for introducing incentive-based demand response programs for retail electricity markets
TL;DR: The major and important outcomes of this research are that, with the help of the proposed conceptual framework, a proper implementation framework can be built, which can be used for developing most appropriate IBDRP for any retail electricity market.
Proceedings ArticleDOI
Indoor thermal comfort control through fuzzy logic PMV optimization
Lucio Ciabattoni,Gionata Cimini,Francesco Ferracuti,Massimo Grisostomi,Gianluca Ippoliti,Matteo Pirro +5 more
TL;DR: A novel fuzzy controller for HVAC systems, considering PMV index value as well as outdoor weather conditions, has been experimentally tested and temperature regulation performances have been compared with those of a classical PID.
Journal ArticleDOI
Appliance Recognition Unit for Home Energy Management System With UPnP Network
TL;DR: The proposed method of appliance recognition, which is based on a Pearson correlation and a weighted cosine similarity technique, significantly increases the accuracy of the recognition degree in a real experimental environment and requires much less computing power and recognition time than various conventional methods.
Journal ArticleDOI
The Design and Implementation of an Energy-Smart Home in Korea
Jin Xiao,Raouf Boutaba +1 more
TL;DR: It is shown how convergence system design is a capable methodology for enabling an integrated and multi-faceted home management system that encompasses energy management, home appliance control, environment management, u-health, and living support functionalities under a single unified design.
References
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Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
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