Smart Home Energy Management System Based on the Fuzzy-Controlled QoE Threshold
2018
Hochschulschrift
Zugriff:
106
To reduce the peak load and electricity bill while preserving the user comfort, a dynamic threshold-based quality of experience (QoE)-aware smart appliance control algorithm for the home energy management system (HEMS) was proposed. The proposed algorithm reduces the peak load and electricity bill by shifting starting times of delay-tolerant appliances from peak to off-peak hours and controlling the temperature setting of heating, ventilation, and air conditioning (HVAC), where the delay of starting time of a home appliance and the target temperature of HVAC are determined by the QoE mapping functions and the QoE threshold. However, there exists a trade-off problem between the reduction performance of the peak load and electricity bill and the user’s QoE. To solve this trade-off problem, in this thesis we proposed a fuzzy-controlled QoE threshold to optimize the user’s QoE. Simulation results demonstrate that the designed fuzzy-controlled QoE threshold significantly improves the user’s QoE while preserving the reduction performance of the peak load and electricity bill, compared with the strategy of a fixed QoE threshold. Thus, the proposed QoE-aware smart appliance control algorithm with a fuzzy-controlled QoE threshold is an outstanding design.
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Smart Home Energy Management System Based on the Fuzzy-Controlled QoE Threshold
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Autor/in / Beteiligte Person: | Hou Ren Chen ; 陳厚任 |
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Veröffentlichung: | 2018 |
Medientyp: | Hochschulschrift |
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