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Tugce Kazanasmaz
Tugce Kazanasmaz
Verified email at iyte.edu.tr
Title
Cited by
Cited by
Year
Artificial neural networks to predict daylight illuminance in office buildings
T Kazanasmaz, M Günaydin, S Binol
Building and Environment 44 (8), 1751-1757, 2009
1692009
Comparative study of a building energy performance software (KEP-IYTE-ESS) and ANN-based building heat load estimation
C Turhan, T Kazanasmaz, IE Uygun, KE Ekmen, GG Akkurt
Energy and Buildings 85, 115-125, 2014
1232014
Three approaches to optimize optical properties and size of a South-facing window for spatial Daylight Autonomy
T Kazanasmaz, LO Grobe, C Bauer, M Krehel, S Wittkopf
Building and Environment 102, 243-256, 2016
632016
Eğitim yapılarının Doğal aydınlatma performansı açısından incelenmesi
İ ERLALELİTEPE, A Duygu, T Kazanasmaz
Megaron 6 (1), 39-51, 2011
512011
On the relation between architectural considerations and heating energy performance of Turkish residential buildings in Izmir
T Kazanasmaz, IE Uygun, GG Akkurt, C Turhan, KE Ekmen
Energy and Buildings 72, 38-50, 2014
452014
Thermal, daylight, and energy potential of building-integrated photovoltaic (BIPV) systems: A comprehensive review of effects and developments
A Taşer, BK Koyunbaba, T Kazanasmaz
Solar Energy 251, 171-196, 2023
392023
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results
B Ekici, ZT Kazanasmaz, M Turrin, MF Taşgetiren, IS Sariyildiz
Solar Energy 224, 373-389, 2021
302021
Fuzzy logic model to classify effectiveness of daylighting in an office with a movable blind system
T Kazanasmaz
Building and Environment 69, 22-34, 2013
292013
Binaların doğal aydınlatma performanslarının değerlendirilmesi
ZT Kazanasmaz
V. Ulusal Aydınlatma Sempozyumu, 07-09, 2009
262009
Exploring the impact of external shading system on cognitive task performance, alertness and visual comfort in a daylit workplace environment
F Leccese, G Salvadori, M Öner, T Kazanasmaz
Indoor and Built Environment 29 (7), 942-955, 2020
222020
Application of climate-based daylight simulation to assess lighting conditions of space and artworks in historical buildings: the case study of Cetacean gallery of the …
F Leccese, G Salvadori, G Tambellini, ZT Kazanasmaz
Journal of Cultural Heritage 46, 193-206, 2020
192020
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validation
B Ekici, ZT Kazanasmaz, M Turrin, MF Taşgetiren, IS Sariyildiz
Solar Energy 224, 309-326, 2021
182021
High-resolution data-driven models of Daylight Redirection Components
LO Grobe, S Wittkopf, ZT Kazanasmaz
Journal of Facade Design and Engineering 5 (2), 87-100, 2017
122017
SIMULATION-BASED RETROFITTING OF AN EDUCATIONAL BUILDING IN TERMS OF OPTIMUM SHADING DEVICE AND ENERGY EFFICIENT ARTIFICIAL LIGHTING CRITERIA.
G BAYRAM, T KAZANASMAZ
Light & Engineering 24 (2), 2016
122016
Bürolarda günışığı aydınlık değerlerinin öngörülmesi
ZT Kazanasmaz, M Günaydın, S Binol
IX. Ulusal Tesisat Mühendisliği Kongresi, 811-822, 2009
11*2009
Sağlık yapılarında yön bulma tasarımı
T Kazanasmaz
Modern Hastane Yönetimi 8 (2), 42-46, 2004
112004
Yapay sinir ağları ile İzmir’deki çok katlı binaların toplam enerji tüketimlerinin tahmin edilmesi
C Turhan, G Gökçen, T Kazanasmaz
Tesisat Mühendisliği 134, 61-68, 2013
102013
Yeşil Bina Sertifika Sistemlerinde Konut Tasarımının Önemi
İ Erlalelitepe, G Gökçen, T Kazanasmaz
Ulusal Tesisat Mühendisliği Kongresi, Bina Fiziği Sempozyumu, İzmir, 1625-1633, 2011
102011
“Sağlık Yapılarında Aydınlatma
T Kazanasmaz
Modern Hastane Yönetimi 7 (1), 14-23, 2003
102003
Analysis of the relationship between daylight illuminance and cognitive, affective and physiological changes in visual display terminal workers
M Öner, T Kazanasmaz, F Leccese, G Salvadori
Building Services Engineering Research and Technology 41 (2), 167-182, 2020
92020
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