no code implementations • 19 Feb 2024 • Max Langtry, Vijja Wichitwechkarn, Rebecca Ward, Chaoqun Zhuang, Monika J. Kreitmair, Nikolas Makasis, Zack Xuereb Conti, Ruchi Choudhary
Data is required to develop forecasting models for use in Model Predictive Control (MPC) schemes in building energy systems.
no code implementations • 26 Jun 2023 • Zack Xuereb Conti, Rebecca Ward, Ruchi Choudhary
This paper presents an approach based on higher order dynamic mode decomposition (HODMD) to model, analyse, and forecast energy behaviour in an urban agriculture farm situated in a retrofitted London underground tunnel, where observed measurements are influenced by noisy and occasionally transient conditions.
1 code implementation • 25 May 2023 • Max Langtry, Chaoqun Zhuang, Rebecca Ward, Nikolas Makasis, Monika J. Kreitmair, Zack Xuereb Conti, Domenic Di Francesco, Ruchi Choudhary
The use of monitored data to improve the accuracy of building energy models and operation of energy systems is ubiquitous, with topics such as building monitoring and Digital Twinning attracting substantial research attention.
no code implementations • 19 Aug 2022 • Zack Xuereb Conti, Ruchi Choudhary, Luca Magri
In this initial exploration, we evaluate the physics-based SDA framework on a demonstrative heat conduction scenario by varying the thermophysical properties of the source and target systems to demonstrate the transferability of mechanistic models from a physics-based domain to a data domain.