Applying extended Kalman filters to adaptive thermal modelling in homes-Reference-Cited by-同舟云学术

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Applying extended Kalman filters to adaptive thermal modelling in homes

Published:2017-05-16 Issue:1 Volume:12 Page:48-65
ISSN:1751-2549
Container-title:Advances in Building Energy Research
language:en
Short-container-title:Advances in Building Energy Research

Author:

Alam Muddasser¹,Rogers Alex²,Scott James³,Ali Kamran⁴,Auffenberg Frederik⁵

Affiliation:

1. Department of Engineering Science, University of Oxford, Oxford, UK

2. Department of Computer Science, University of Oxford, Oxford, UK

3. Microsoft Research Cambridge, Cambridge UK

4. Usman Institute of Technology, Karachi, Pakistan

5. Electronics and Computer Science, University of Southampton, Southampton, UK

Funder

EPSRC

Publisher

Informa UK Limited

Subject

Building and Construction

Link

https://www.tandfonline.com/doi/pdf/10.1080/17512549.2017.1325398

Reference8 articles.

1. Modelling the heat dynamics of a building using stochastic differential equations

2. Identifying suitable models for the heat dynamics of buildings

3. EKF based self-adaptive thermal model for a passive house

4. Kalman Filtering

5. Parameter estimation in stochastic grey-box models

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Scalable Bayesian optimization for model calibration: Case study on coupled building and HVAC dynamics;Energy and Buildings;2021-12

2. Artificial Intelligence Techniques for the Smart Grid;Advances in Building Energy Research;2017-12-04

3. Model Predictive Control Based on Stochastic Grey-Box Models;Towards Energy Smart Homes;2012-02-24

4. Online Building Energy Model to Evaluate Heating and Cooling-related Behavior Changes for Eco-feedback in a Multifamily Residential Building;Building Simulation Conference proceedings

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