Validation of neural network model for predicting airtightness of residential and non-residential units in Poland

Krstić, Hrvoje; Otković, Irena Ištoka; Kosiński, Piotr; Wójcik, Robert

doi:10.1016/j.enbuild.2016.10.011

Cited by 9 publications

(7 citation statements)

References 20 publications

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“…Based on the Table 3 this result gained, is consistent with previous research conducted by Kristić (Krstić, et al, 2016), reported that there was a weak correlation between attachment avoidant with selfconcept. This might be due to the respondents' backgrounds which are Counselling students and at the same time, they are still human being.…”

Section: Table 3 Attachment Anxiety and Self-conceptsupporting

confidence: 90%

“…The Table 2 shows that result is inconsistent with the previous research conducted by Kristić (Krstić, Otković, Kosiński, & Wojcik, 2016) entitled Attachment to Parents and Friends as a Context for Development of Self-Concept in Adolescence: The Personality Traits as Mediators. In the previous research, the result showed that there was a correlation, weak between attachment anxiety and selfconcept.…”

Section: Table 2 Attachment Avoidance and Self-conceptcontrasting

confidence: 68%

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Adult Attachment and Self Concept

Zamzur

Fatahyah

2019

JIK

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This study aims to identify the relationship between adult attachment and self-concept among year one and year two counselling students in University Malaysia Sarawak (UNIMAS). This research is correlational research design. The sample consisted of 52 respondents. The study involves two main variables of Adult Attachment and Self-Concept. In this study, the questionnaires used are Experience in Close Relationship (ECR) and Robson’s Self-Concept Questionnaire (SCQ). Statistical Package for the Social Sciences (SPSS) analysis showed a negative significant relationship between Attachment Anxiety and Self-Concept with Pearson correlation value (p = 0.005, r = -0.383).This finding might be due to the respondents’ backgrounds which are Counselling students. It is suggested that the trainee counsellors to gain awareness on the importance of having positive self-concept in order to be competence and professional counsellor.

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Section: Table 3 Attachment Anxiety and Self-conceptsupporting

confidence: 90%

Section: Table 2 Attachment Avoidance and Self-conceptcontrasting

confidence: 68%

Adult Attachment and Self Concept

Zamzur

Fatahyah

2019

JIK

View full text Add to dashboard Cite

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“…The research conducted by Kondratyev and Varotsos [16] presented numerical modeling efforts considering the climate change factor based on robust and stable observation systems that were required for reliable assessment of the impact of various elements on global climate changes. As such, various studies [11,[17][18][19][20][21][22][23][24][25][26] have been conducted that aim to predict the airtightness values of buildings without actual measurements. Various methods for airtightness performance prediction proposed so far in other studies have had a practical limitation in combining construction quality control and workmanship [15], which play a significant role in airtightness performance.…”

Section: Introductionmentioning

confidence: 99%

A Statistical Approach for Predicting Airtightness in Residential Units of Reinforced Concrete Apartment Buildings in Korea

Shin

Han

et al. 2020

Energies

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In this study, a model equation is derived that uses a statistical analysis based on empirical models to predict the airtightness of reinforced concrete apartment buildings popular in Asian regions. Airtightness data from 486 units personally measured by the authors in the past eight years are used. As major variables used in the prediction model, two groups of variables are configured for the geometric components of the envelope, which is a major path of airflow in a building and is where air infiltration and leakage occur. The two groups of variables represent (1) the areas of the individual components forming the envelope and (2) the connection lengths between different components of the envelope. For the effective prediction of airtightness, correlation analysis and multiple regression analysis were applied step by step in this study. The results of the correlation analysis indicated that the areas of the slab and the window are the area variables that present the greatest impact, whereas the perimeter length of the window is the connection length variable that presents the greatest impact. Using a multiple linear regression analysis method, airtightness prediction model equations can be derived, and it is found that the model with variables for area is able to predict airtightness more accurately compared to the two models derived from variables for connection length and all variables for area and connection length. Although the statistical approach in this study shows a limitation in that the prediction results may vary depending on the attributes and type of data collected by countries, the methodology and procedure in this study contribute to similar studies for making prediction models and finding the influence of variables in the future with high applicability and feasibility.

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“…The sample was considered representative in terms of year of construction after finding a relationship between the elements of the sample and the statistical data of residential buildings in Croatia. The purpose was to establish a method for predicting the airtightness of the envelope applying neural networks, which has been subsequently validated [15,16].…”

Section: Introductionmentioning

confidence: 99%

Methodology for the Study of the Envelope Airtightness of Residential Buildings in Spain: A Case Study

et al. 2018

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Air leakage and its impact on the energy performance of dwellings has been broadly studied in countries with cold climates in Europe, US, and Canada. However, there is a lack of knowledge in this field in Mediterranean countries. Current Spanish building regulations establish ventilation rates based on ideal airtight envelopes, causing problems of over-ventilation and substantial energy losses. The aim of this paper is to develop a methodology that allows the characterization of the envelope of the housing stock in Spain in order to adjust ventilation rates taking into consideration air leakage. A methodology that is easily applicable to other countries that consider studying the airtightness of the envelope and its energetic behaviour improvement is proposed. A statistical sampling method has been established to determine the dwellings to be tested, considering relevant variables concerning airtightness: climate zone, year of construction, and typology. The air leakage rate is determined using a standardized building pressurization technique according to European Standard EN 13829. A representative case study has been presented as an example of the implementation of the designed methodology and results are compared to preliminary values obtained from the database.

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Validation of neural network model for predicting airtightness of residential and non-residential units in Poland

Cited by 9 publications

References 20 publications

Adult Attachment and Self Concept

Adult Attachment and Self Concept

A Statistical Approach for Predicting Airtightness in Residential Units of Reinforced Concrete Apartment Buildings in Korea

Methodology for the Study of the Envelope Airtightness of Residential Buildings in Spain: A Case Study

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