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Auteurs principaux: Gaikwad, Ninad, Shankar, Kunal, Dubey, Anamika, Love, Alan, Bergland, Olvar
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:https://arxiv.org/abs/2508.09118
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author Gaikwad, Ninad
Shankar, Kunal
Dubey, Anamika
Love, Alan
Bergland, Olvar
author_facet Gaikwad, Ninad
Shankar, Kunal
Dubey, Anamika
Love, Alan
Bergland, Olvar
contents We need computationally efficient and accurate building thermal dynamics models for use in grid-edge applications. This work evaluates two grey-box approaches for modeling building thermal dynamics: RC-network models and structured regression models. For RC-network models, we compare parameter estimation methods including Nonlinear Least Squares, Batch Estimation, and Maximum Likelihood Estimation. We use the Almon Lag Structure with Linear Least Squares for estimating the structured regression models. The performance of these models and methods is evaluated on simulated house and commercial building data across three different simulation types.
format Preprint
id arxiv_https___arxiv_org_abs_2508_09118
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Comparing Building Thermal Dynamics Models and Estimation Methods for Grid-Edge Applications
Gaikwad, Ninad
Shankar, Kunal
Dubey, Anamika
Love, Alan
Bergland, Olvar
Systems and Control
We need computationally efficient and accurate building thermal dynamics models for use in grid-edge applications. This work evaluates two grey-box approaches for modeling building thermal dynamics: RC-network models and structured regression models. For RC-network models, we compare parameter estimation methods including Nonlinear Least Squares, Batch Estimation, and Maximum Likelihood Estimation. We use the Almon Lag Structure with Linear Least Squares for estimating the structured regression models. The performance of these models and methods is evaluated on simulated house and commercial building data across three different simulation types.
title Comparing Building Thermal Dynamics Models and Estimation Methods for Grid-Edge Applications
topic Systems and Control
url https://arxiv.org/abs/2508.09118