A5039173855- Urban Heat Island Mitigation
- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Noise Effects and Management
- Urban Green Space and Health
- Urban Transport and Accessibility
- Air Quality and Health Impacts
- Energy, Environment, and Transportation Policies
- Aerodynamics and Fluid Dynamics Research
- Impact of Light on Environment and Health
- Environmental Impact and Sustainability
- Conferences and Exhibitions Management
- Human Mobility and Location-Based Analysis
- Land Use and Ecosystem Services
- Machine Learning in Bioinformatics
- Sustainability in Higher Education
- Text and Document Classification Technologies
- Meteorological Phenomena and Simulations
- Solar Radiation and Photovoltaics
- Natural Language Processing Techniques
- Air Quality Monitoring and Forecasting
- Conservation Techniques and Studies
- Advanced Data Processing Techniques
- Topic Modeling
- Delphi Technique in Research
Tongji University
2023-2025
North China University of Technology
2022-2024
Shanghai Tongji Urban Planning and Design Institute
2023-2024
Abstract Assessing building energy consumption in urban neighborhoods at the early stages of planning assists decision-makers developing detailed renewal plans and sustainable development strategies. At city-level, use physical simulation-based modeling (UBEM) is too costly, data-driven approaches often are hampered by a lack available monitoring data. This paper combines approach with approach, using UBEM to provide dataset for machine learning deploying trained model large-scale...
The COVID-19 pandemic has forced many conferences and educational events to shift from in-person online, significantly reducing the carbon footprint associated with these activities. Workshops are a common pattern of thematic learning at university level, usually involving series activities, such as gathering, learning, dining, for participants different regions. However, unlike three-day conference, workshops last seven days or more, resulting in non-negligible footprint. To resolve this...
Large Language Models (LLMs) have emerged as powerful tools for complex Operations Research (OR) in automating optimization modeling. However, current methodologies heavily rely on prompt engineering (e.g., multi-agent cooperation) with proprietary LLMs, raising data privacy concerns that could be prohibitive industry applications. To tackle this issue, we propose training open-source LLMs We identify four critical requirements the dataset of OR design and implement OR-Instruct, a...
The wide variation in household characteristics, such as size, income, and age, can lead to significant differences carbon footprints. Based on data from 1132 Chinese households 2021, this study examines the structural differences, multiple influencing factors, mitigation strategies of footprints (HCFs) China. results indicate that indirect emissions, primarily energy food consumption, account for largest share footprints, making up over 65% total emissions. Households with lower are...
Computational fluid dynamics (CFD) techniques have received widespread acceptance in predicting pedestrian wind. The primary impediment to establishing a reliable inflow wind profile is the lack of on-site measurement data. We propose downscaling method for accurately modeling absence consists three layers nested WRF (Weather Research and Forecasting)-CFD numerical simulations. model layer one was used acquire mesoscale data across study site define boundary conditions microscale domains....