Impact of the controller model complexity on model predictive control performance for buildings
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Although multiple studies have discussed selection of appropriate prediction horizons from computational cost, prediction accuracy, and control performance, targeted research is still needed based on environmental differences of edible mushroom factories.
“Although multiple studies have discussed the selection of appropriate prediction horizons from aspects such as computational cost [30], prediction accuracy [23], and control performance [31], targeted research is still needed based on the environmental differences of edible mushroom factories.”
From Energy-Saving Control Method for Factory Mushroom Room Air Conditioning Based on MPC (2023) · cites this paper as [30]
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All you need to know about model predictive control for buildings
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- Authors
- Picard, D., Drgoňa, J., Kvasnica, M., & Helsen, L.
- Affiliations
- KU Leuven (BE)
- Slovak University of Technology in Bratislava (SK)
- Corresponding author
- Picard, Damien
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 152
- Pages
- 739-751
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2734611975
- Cited by
- 97
- References
- 38
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 14 · 2023: 23 · 2022: 14 · 2021: 9 · 2020: 9 · 2019: 6 · 2018: 4
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Energy and Buildings (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Funders
- Scientific Grant Agency of the Slovak Republic (1/0403/15)
- IWT
- WTCB
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- model predictive control, HVAC control, model reduction, balanced truncation, thermal comfort, building energy consumption, state-space model, model mismatch, rule-based controller, building thermal mass, building energy simulation
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