China's urban energy system transition towards carbon neutrality: challenges and experience of Beijing and Suzhou
Urban areas account for more than 70% of total carbon emissions. This proportion for China
is higher, approximately 80%, closely related to human activities in urban energy …
is higher, approximately 80%, closely related to human activities in urban energy …
A local thermal sensation model suitable for thermal comfort evaluation of sensitive body segments
Z He, X Zhao, Y Yin, X Chen - Sustainable Cities and Society, 2023 - Elsevier
Nowadays, an indoor environment is created by heating, ventilation, air-conditioning, and
cooling (HVAC) systems that meet the cooling needs of occupants in summer, however …
cooling (HVAC) systems that meet the cooling needs of occupants in summer, however …
Unraveling energy justice in NYC urban buildings through social media sentiment analysis and transformer deep learning
M Ashayeri, N Abbasabadi - Energy and Buildings, 2024 - Elsevier
This study explores the intricate relationship between human sentiment on social media
data, herein tweet posts on X platform, urban building characteristics, and the socio-spatial …
data, herein tweet posts on X platform, urban building characteristics, and the socio-spatial …
The synergy between pollution reduction and carbon reduction in Chinese cities and its influencing factors
K Liu, G Ren, S Dong, Y Xue - Sustainable Cities and Society, 2024 - Elsevier
The synergy between pollution reduction (PR) and carbon reduction (CR) is crucial for cities
facing both climate change and environmental pollution in achieving sustainable …
facing both climate change and environmental pollution in achieving sustainable …
From Tweets to Energy Trends (TwEn): An exploratory framework for machine learning-based forecasting of urban-scale energy behavior leveraging social media …
N Abbasabadi, M Ashayeri - Energy and Buildings, 2024 - Elsevier
Understanding energy dynamics is crucial in addressing climate change, yet the accuracy of
energy predictions is often limited by reliance on oversimplified static data, failing to …
energy predictions is often limited by reliance on oversimplified static data, failing to …
Vector maps and spatial autocorrelation of carbon emissions at land patch level based on multi-source data
X Zhang, Q Liao, H Zhao, P Li - Frontiers in Public Health, 2022 - frontiersin.org
An accurate carbon emissions map is of great significance for urban planning to reduce
carbon emissions, mitigate the heat island effect, and avoid the impact of high temperatures …
carbon emissions, mitigate the heat island effect, and avoid the impact of high temperatures …
An Optimization Framework and Tool for Context-sensitive Solar-Driven Design Using Cellular Automata (SDCA)
S Luitjohan, M Ashayeri… - 2022 Annual Modeling …, 2022 - ieeexplore.ieee.org
This article develops a framework and computational tool that integrates cellular automata
(CA) as a generative design (GD) system into the solar radiation incident (SRI) simulation. It …
(CA) as a generative design (GD) system into the solar radiation incident (SRI) simulation. It …
Artificial Intelligence in Building Enclosure Performance Optimization: Frameworks, Methods, and Tools
F Kheiri - Artificial Intelligence in Performance‐Driven Design …, 2024 - Wiley Online Library
The design and specifications of a building enclosure can substantially impact the overall
performance of a building. However, the multifaceted nature of building enclosure design …
performance of a building. However, the multifaceted nature of building enclosure design …
Digital Twin for Citywide Energy Modeling and Management
N Abbasabadi, M Ashayeri - Artificial Intelligence in …, 2024 - Wiley Online Library
As global urbanization continues to surge, it is imperative for cities to understand energy
flows and reduce carbon emissions urgently. Digital Twins (DTs) represent a promising …
flows and reduce carbon emissions urgently. Digital Twins (DTs) represent a promising …
A Hybrid Physics‐Based Machine Learning Approach for Integrated Energy and Exposure Modeling
M Ashayeri, N Abbasabadi - Artificial Intelligence in …, 2024 - Wiley Online Library
This chapter introduces a hybrid framework that brings machine learning (ML) and urban big
data analytics into integrated modeling of indoor air quality, building operational energy, and …
data analytics into integrated modeling of indoor air quality, building operational energy, and …