A neural network for monitoring and characterization of buildings

• Autorzy: Romańska-Zapała Anna , Dudzik Marek , Kuc Sabina

Identyfikatory

DOI

10.37105/iboa.201

• Języki publikacji: EN

Abstrakty

EN

This paper continues work from part 1 where a high precision estimator for energy efficiency and indoor environment based on artificial neural networks (ANN) was examined. Part 1 demonstrated that creating a precise representation of a mathematical relationship one must evaluate the stability and fitness under randomly changing initial conditions. Now, we extend our requirements for the model to be rapid and precise. At the end of this work we obtain a road map for the design and evaluation of ANN-based estimators of the given performance aspect in a complex interacting environment. This paper also shows that ANN system designed may have a high precision in characterizing the response of the building exposed to variable outdoor climatic conditions. The absolute value of the relative errors, MaxAR, is less than 2%. It proves that monitoring and ANN-based characterization approach can be used for different buildings, including those with the best environmental performance.

Słowa kluczowe

EN

estimator design procedure; estimation; intelligent construction; intelligent building; control system

PL

procedura projektowania estymatorów; oszacowanie; system sterowania; konstrukcja inteligentna; budynek inteligentny

• Wydawca: Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
• Czasopismo: Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
• Rocznik: 2023
• Tom: Nr 4
• Strony: 134--143
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Romańska-Zapała Anna

• Cracow University of Technology, Faculty of Electrical and Computer Engineering, Department of Automation and Informatics, Cracow, Poland

autor

Dudzik Marek

• Cracow University of Technology, Faculty of Electrical and Computer Engineering, Department of Electrical Engineering, Cracow, Poland

autor

Kuc Sabina

• Cracow University of Technology, Faculty of Architecture, Chair of Architectural Engineering Design, Cracow, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).