Prediction of energy consumption in buildings by system identification
| Autor: | Andrew Scott Ours, Nabil Nassif, Darrion Long |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
020209 energy System identification Control engineering 02 engineering and technology Energy consumption Atmospheric model Data modeling Nonlinear system Dew point 0202 electrical engineering electronic engineering information engineering State space Simulation Energy (signal processing) |
| Zdroj: | 2016 Future Technologies Conference (FTC). |
| DOI: | 10.1109/ftc.2016.7821681 |
| Popis: | This paper presents modeling methodologies for predicting energy consumption using system identification. The models discussed will predict the systems performance using the measured input and output. To test and train the models, data was gathered from an existing building. State space, nonlinear, and polynomials models based mathematical functions and tested with different parameters such are temperature, time, and dew point. The results show that the proposed models can output similar energy results. The developed model can be used for energy assessment and diagnosis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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