An Experiential-Led Predictive Control for Enhancing Occupant Thermal Comfort and Reducing Energy Consumption of Heating Systems
Author:
Affiliation:
1. School of Engineering, University of Warwick,Coventry,UK,CV4 7AL
2. School of Engineering, Beijing Institute of Technology,Beijing,China,100081
Funder
University of Warwick
China Scholarship Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275139/10275143/10275184.pdf?arnumber=10275184
Reference16 articles.
1. Smart Building: Use of the Artificial Neural Network Approach for Indoor Temperature Forecasting
2. The role of data sample size and dimensionality in neural network based forecasting of building heating related variables
3. Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model
4. Identifying suitable models for the heat dynamics of buildings
5. A dynamic energy performance-driven approach for assessment of buildings energy Renovation—Danish case studies
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