دورية أكاديمية
Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme
العنوان: | Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme |
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المؤلفون: | Papadopoulos D. N., Dadras Javan F., Najafi B., Haghighat Mamaghani A., Rinaldi F. |
المساهمون: | Papadopoulos, D. N., Dadras Javan, F., Najafi, B., Haghighat Mamaghani, A., Rinaldi, F. |
سنة النشر: | 2023 |
المجموعة: | RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano |
مصطلحات موضوعية: | Data recreation, Indoor environment, Machine learning algorithm optimization, Sliding window-based training, Smart building |
الوصف: | This paper implements a machine learning(ML)-based procedure for constructing the missing sensor(s) data in a net zero energy building in case of complete failure in data recording (for up to one hour). In the first scenario, missing temperature data is re-created using the sensor's ex-ante data, the HVAC system's status flag, and the ambient conditions. In the second scenario, the temperature data (until failure occurred) from two close-by spaces are also utilized as inputs. For each scenario, ML-based pipelines' performance is first assessed by considering different prediction horizons using a benchmark algorithm. Next, each pipeline's most promising features and the most suitable algorithm are identified. Using the obtained optimal pipeline, a sliding window-based training scheme is implemented, and the size of the training window is optimized. It is shown that feature selection, algorithm optimization procedures, and the sliding window-based training scheme notably improve the forecasting performance. The proposed methodology can be deployed as a tool in intervals with total data logging failure, providing data to ML-based controllers in smart buildings and avoiding disruptions in the building management system. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | STAMPA |
اللغة: | English |
العلاقة: | volume:301; firstpage:1; lastpage:13; numberofpages:13; journal:ENERGY AND BUILDINGS; https://hdl.handle.net/11311/1256702Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85175716948 |
DOI: | 10.1016/j.enbuild.2023.113694 |
الإتاحة: | https://doi.org/10.1016/j.enbuild.2023.113694Test https://hdl.handle.net/11311/1256702Test |
حقوق: | info:eu-repo/semantics/closedAccess |
رقم الانضمام: | edsbas.D6C8481F |
قاعدة البيانات: | BASE |
DOI: | 10.1016/j.enbuild.2023.113694 |
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