#7486. An online physical-based multiple linear regression model for buildings hourly cooling load prediction

October 2026publication date
Proposal available till 18-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Civil and Structural Engineering;
Building and Construction;
Mechanical Engineering;
Electrical and Electronic Engineering;
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Abstract:
Reliable cooling load prediction guides efficient energy supply strategies on the buildings source-sides and is the basis for model predictive control (MPC) of heating, ventilation, and air conditioning (HVAC). To address the insufficient generalization ability of current cooling load prediction models especially in the small sample learning, this paper established a physics-based multiple linear regression (PB-MLR) model, which has the advantages of strong generalization ability under small sample learning, short training time, and strong interpretability.
Keywords:
Cooling load prediction; Explainable model; Grey-box model; Online model; Rolling optimization

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