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Nasim Eslamirad
Nasim Eslamirad
Postdoctoral Research Fellow, Spatial Dynamic Lab, University College Dublin (UCD)
Correu electrònic verificat a ucd.ie - Pàgina d'inici
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Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran
N Eslamirad, S Malekpour Kolbadinejad, M Mahdavinejad, M Mehranrad
Smart and Sustainable Built Environment 9 (4), 361-374, 2020
412020
Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran. Smart and Sustainable Built Environment. 2020 Apr 28; 9 (4): 361-374
N Eslamirad, SM Kolbadinejad, M Mahdavinejad, M Mehranrad
30
Evaluating Outdoor Thermal Comfort Using a Mixed-Method to Improve the Environmental Quality of a University Campus
N Eslamirad, A Sepúlveda, F De Luca, K Sakari Lylykangas
Special Issue Research Innovations for Advanced Analysis and Multi …, 2022
172022
Data Generative Machine Learning Model for the Assessment of Outdoor Thermal and Wind Comfort in a Northern Urban Environment
N Eslamirad, F De Luca, KS Lylykangas, S Ben Yahia
Frontiers of Architectural Research 12 (1), 2023
152023
The role of building morphology on pedestrian level comfort in Northern climate
N Eslamirad, F De Luca, KS Lylykangas
Journal of Physics: Conference Series 2042 (1), 012053, 2021
92021
Outdoor Thermal Comfort Optimization in a Cold Climate to Mitigate the Level of Urban Heat Island in an Urban Area
N Eslamirad, A Sepúlveda, F De Luca, S Ben Yahia, K Sakari Lylykangas
Energies 16 (12), 4546, 2023
82023
Multi objective computing and applying expert system in Double Skin Façade system
N Eslamirad, M Mahdavinejad
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018
72018
Geoprocess of geospatial urban data in Tallinn, Estonia
N Eslamirad, F De Luca, K Sakari Lylykangas, S Ben Yahia, ...
Data in Brief 107172, 2023
62023
External shadings effect on operating energy based on lcea, case study: A residential building in Tehran
N Eslamirad, M Mahdavinejad
2018 Building Performance Analysis Conference and SimBuild, 494-501, 2018
52018
A.,“Double Skin Facades in Use, A Study of Configuration and Performance of Double Skin Facade, Case Studies some Office Buildings”
N Eslamirad, A Sanei
2nd International Conference on Research in Science and Technology, Istanbul …, 2016
52016
Machine learning-based optimization design workflow based on obstruction angles for building facades
A Sepúlveda, N Eslamirad, SSS Salehi, M Thalfeldt, F De Luca
22023
Concentrated solar power (CSP) for sustainable architecture to supply domestic hot water and heating loads of buildings
H Zarrinkafsh, N Eslamirad, F De Luca
Journal of Physics: Conference Series 2042 (1), 012110, 2021
22021
Multi-performance method for urban densification
A Sepúlveda, N Eslamirad, F De Luca
Building Simulation 2023 18, 1651-1658, 2023
12023
Classification of the energy production potential of water lens solar concentrators using machine learning
H Zarrinkafsh, N Eslamirad, F De Luca
Journal of Physics: Conference Series 2042 (1), 012022, 2021
12021
Statistical processing of building and neighborhood data considering energy ratings in Dublin, Ireland
N Eslamirad, M Gholamnia, P Sajadi, F Pilla
Data in Brief 57, 110954, 2024
2024
From near real-time urban data to an Explainable city-scale model to help reduce the Urban Heat Island (UHI) effect.
N Eslamirad, FD Luca, SB Yahia, KS Lylykangas
Journal of Physics: Conference Series. CISBAT 2023., 2023
2023
Methodology for Improving Wind Comfort in a Cold Region Through Modular Urban Elements
N Eslamirad, F De Luca, A Sepúlveda, KS Lylykangas
2023
Geoprocess of geospatial urban data in Tallinn, Estonia
N Eslamirad
Mendeley Data, 2022
2022
Optimum Morphology of Green Sidewalk on Thermal Comfort and Air Pollution
N Eslamirad, M Mahdavinejad, S Dehghani Tafti
SIM AUD 2021, 2021
2021
Building Morphology Influence on Outdoor Comfort in Urban Environments. An Analysis through Machine Learning
N Eslamirad, F De Luca, K Sakari Lylykangas
SIM AUD 2021, 2021
2021
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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