热门出版物
标题/作者年份
State-of-the-art on research and applications of machine learning in the building life cycle
T Hong, Z Wang, X Luo, W Zhang
Energy and Buildings 212, 109831
2020
A review on machine learning algorithms to predict daylighting inside buildings
M Ayoub
Solar energy 202, 249-275
2020
Comparative performance of machine learning algorithms in the prediction of indoor daylight illuminances
J Ngarambe, A Irakoze, GY Yun, G Kim
Sustainability 12 (11), 4471
2020
Developing a parametric morphable annual daylight prediction model with improved generalization capability for the early stages of office building design
Y Han, L Shen, C Sun
Building and Environment 200, 107932
2021
Predictive models for daylight performance of general floorplans based on CNN and GAN: a proof-of-concept study
Q He, Z Li, W Gao, H Chen, X Wu, X Cheng, B Lin
Building and Environment 206, 108346
2021
A metamodel based on intermediary features for daylight performance prediction of facade design
CH Lin, YS Tsay
Building and Environment 206, 108371
2021
Artificial neural networks for parametric daylight design
CL Lorenz, AB Spaeth, C Bleil De Souza, MS Packianather
Architectural science review 63 (2), 210-221
2020
Machine learning in design exploration: An investigation of the sensitivities of ANN-based daylight predictions
CL Lorenz, A Spaeth, C Bleil De Souza, M Packianather
2019
Machine learning-based real-time daylight analysis in buildings
L Le-Thanh, H Nguyen-Thi-Viet, J Lee, H Nguyen-Xuan
Journal of Building Engineering 52, 104374
2022
A comparative study of artificial intelligence models for predicting interior illuminance
M Arbab, M Rahbar, M Arbab
Applied Artificial Intelligence 35 (5), 373-392
2021
Development of a machine-learning framework for overall daylight and visual comfort assessment in early design stages
H Nourkojouri, NS Shafavi, M Tahsildoost, ZS Zomorodian
Journal of Daylighting 8 (2), 270-283
2021
Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks
T Kristiansen, F Jamil, IA Hameed, M Hamdy
Building and Environment 217, 109031
2022
A Novel Framework for Optimizing Indoor Illuminance and Discovering Association of Involved Variables
NH Matin, A Eydgahi, A Gharipour, P Matin
Buildings 12 (7), 878
2022
Input feature selection and optimization for ANN models predicting daylight in buildings
CL Lorenz, M Packianather, C Bleil De Souza, AB Spaeth, TI Lorenz
2019
Achieving realtime daylight factor computation for modular buildings in generative design
X Marsault
Journal of Building Performance Simulation 15 (6), 848-865
2022
Input Feature Optimization for ANN Models Predicting Daylight in Buildings.
CL Lorenz, AB Spaeth, B De Souza, M Packianather
EG-ICE
2018
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