Data-driven HVAC Control Using Symbolic Regression: Design and Implementation
Author:
Affiliation:
1. Osaka University,Graduate school of Information Science and Technology,Japan
2. Osaka University,Campus Sustainability Office,Japan
3. Osaka University,Graduate School of Engineering,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252165/10252088/10253270.pdf?arnumber=10253270
Reference11 articles.
1. A unified approach to interpreting model predictions;lundberg;Advances in neural information processing systems,2017
2. Data-driven models for short-term thermal behaviour prediction in real buildings
3. Fifty shades of black
4. Modeling and forecasting building energy consumption: A review of data-driven techniques
5. Design of Supervisory Model Predictive Control for Building HVAC System With Consideration of Peak-Load Shaving and Thermal Comfort
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