An Improved Optimization Function to Integrate the User's Comfort Perception into a Smart Home Controller Based on
Jonatha Rodrigues da Costa1, Giovanni Cordeiro Barroso1, Darielson Araújo de Souza2
1Department of Electrical Engineering, Federal University of Ceará, Fortaleza 60455-760, CE, Brazil.
Sensors (Basel, Switzerland)
|March 30, 2023
Summary
Smart home controllers (SHCs) can optimize energy use for savings and comfort. This study introduces a new comfort function using fuzzy logic to better model user comfort perceptions, improving scheduling when comfort is prioritized.
Area of Science:
- Electrical Engineering
- Artificial Intelligence
- Home Automation
Background:
- Smart Home Controllers (SHCs) schedule residential loads for financial savings and user comfort.
- Existing models often overlook dynamic user comfort perceptions, relying solely on fixed preferences.
- This limitation impacts the effectiveness of load scheduling algorithms.
Purpose of the Study:
- To propose a novel comfort function that incorporates dynamic user comfort perceptions using fuzzy logic.
- To integrate this function into an SHC system for multi-objective load scheduling (economy and comfort).
- To analyze the performance of the proposed method across various scenarios.
Main Methods:
- Development of a fuzzy logic-based comfort function considering user perceptions.
- Integration of the comfort function into an SHC system.
- Utilizing Particle Swarm Optimization (PSO) for multi-objective load scheduling.
- Validation through diverse simulation scenarios.
Main Results:
- The proposed comfort function enhances scheduling when user comfort is prioritized over financial savings.
- For general optimization, a simpler comfort function focusing on user preferences is more beneficial.
- The method effectively balances economy and comfort objectives based on user needs.
Conclusions:
- The fuzzy logic-based comfort function offers a significant improvement for SHC load scheduling when prioritizing user comfort.
- The choice of comfort function should align with user-defined priorities (comfort vs. savings).
- This research provides a more nuanced approach to user-centric smart home energy management.
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