دورية أكاديمية

Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme

التفاصيل البيبلوغرافية
العنوان: Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme
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