| RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 卷:90 |
| Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency | |
| Review | |
| Schmidt, Mischa1,2  Ahlund, Christer2  | |
| [1] NEC Labs Europe, Kurfursten Anlage 36, D-69115 Heidelberg, Germany | |
| [2] Lulea Univ Technol, Dept Comp Sci, Forskargatan 1, S-93187 Skelleftea, Sweden | |
| 关键词: Energy efficiency; Predictive control; Cyber-Physical System; Existing buildings; | |
| DOI : 10.1016/j.rser.2018.04.013 | |
| 来源: Elsevier | |
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【 摘 要 】
Due to its significant contribution to global energy usage and the associated greenhouse gas emissions, existing building stock's energy efficiency must improve. Predictive building control promises to contribute to that by increasing the efficiency of building operations. Predictive control complements other means to increase performance such as refurbishments as well as modernizations of systems. This survey reviews recent works and contextualizes these with the current state of the art of interrelated topics in data handling, building automation, distributed control, and semantics. The comprehensive overview leads to seven research questions guiding future research directions.
【 授权许可】
Free
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_rser_2018_04_013.pdf | 618KB |
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