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Optimal selection of predictors for greenhouse gas emissions forecast in Hong Kong
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.1016/j.buildenv.2009.09.014openalex-snapshot
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Developing a high-resolution emission inventory tool for low-carbon city management using hybrid method – A pilot test in high-density Hong Kong
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Impacts of green certification programs on energy consumption and GHG emissions in buildings: A spatial regression approach
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Effective ways to reduce CO2 emissions from China's heavy industry? Evidence from semiparametric regression models
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Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks
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Multi-sectoral determinants of carbon emission inequality in Chinese clustering cities
inferredcites →https://doi.org/10.1016/j.enpol.2012.02.012openalex-snapshot
Greenhouse gas emissions from cities and regions: International implications revealed by Hong Kong
inferredcites →https://doi.org/10.1016/j.enpol.2014.10.004openalex-snapshot
Mandatory reporting of greenhouse gas emissions from buildings: Stakeholders’ opinions in Hong Kong
inferredcites →https://doi.org/10.1016/j.enpol.2019.03.044openalex-snapshot
Technological change and the rebound effect in the STIRPAT model: A critical view
inferredcites →https://doi.org/10.1016/j.ijggc.2013.11.011openalex-snapshot
Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis
inferredcites →https://doi.org/10.1016/j.jclepro.2014.10.062openalex-snapshot
Greenhouse gases emissions from the logistics sector: the case of Hong Kong, China
inferredcites →https://doi.org/10.1016/j.jclepro.2017.02.124openalex-snapshot
Hong Kong's greenhouse gas emissions from the waste sector and its projected changes by integrated waste management facilities
inferredcites →https://doi.org/10.1016/j.jclepro.2017.03.189openalex-snapshot
Provincial-level carbon emission drivers and emission reduction strategies in China: Combining multi-layer LMDI decomposition with hierarchical clustering
inferredcites →https://doi.org/10.1016/j.jclepro.2017.04.138openalex-snapshot
The impact of urbanization on GHG emissions in China: The role of population density
inferredcites →https://doi.org/10.1016/j.jclepro.2017.07.181openalex-snapshot
GHG emissions from electricity consumption: A case study of Hong Kong from 2002 to 2015 and trends to 2030
inferredcites →https://doi.org/10.1016/j.jclepro.2018.07.160openalex-snapshot
Investigating factors affecting carbon emission in China and the USA: A perspective of stratified heterogeneity
inferredcites →https://doi.org/10.1016/j.jclepro.2018.10.128openalex-snapshot
Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China
inferredcites →https://doi.org/10.1016/j.jclepro.2019.02.071openalex-snapshot
Carbon emissions embodied in China–Australia trade: A scenario analysis based on input–output analysis and panel regression models
inferredcites →https://doi.org/10.1016/j.jclepro.2019.117700openalex-snapshot
Evaluation of mitigation potential of GHG emissions from the construction of prefabricated subway station
inferredcites →https://doi.org/10.1016/j.jclepro.2019.117918openalex-snapshot
CO2 emissions embodied in trade: Evidence for Hong Kong SAR
inferredcites →https://doi.org/10.1016/j.jclepro.2020.122630openalex-snapshot
Carbon footprint analysis of chemical enhanced primary treatment and sludge incineration for sewage treatment in Hong Kong
inferredcites →https://doi.org/10.1016/j.jclepro.2020.123866openalex-snapshot
Evaluation and improvement of energy consumption prediction models using principal component analysis based feature reduction
inferredcites →https://doi.org/10.1016/j.jclepro.2021.125859openalex-snapshot
Analysis of the development scenarios and greenhouse gas (GHG) emissions in China’s aluminum industry till 2030
inferredcites →https://doi.org/10.1016/j.jclepro.2021.126210openalex-snapshot
A quantitative assessment of greenhouse gas (GHG) emissions from conventional and modular construction: A case of developing country
inferredcites →https://doi.org/10.1016/j.jclepro.2021.126526openalex-snapshot
Fossil fuel energy and environmental performance in an extended STIRPAT model
inferredcites →https://doi.org/10.1016/j.jclepro.2022.130405openalex-snapshot
Environmental and economic assessment of collective recycling waste plastic and reclaimed asphalt pavement into pavement construction: A case study in Hong Kong
inferredcites →https://doi.org/10.1016/j.jenvman.2021.113190openalex-snapshot
A critical assessment of provincial-level variation in agricultural GHG emissions in China
inferredcites →https://doi.org/10.1016/j.renene.2018.09.032openalex-snapshot
Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions
inferredcites →https://doi.org/10.1016/j.resconrec.2020.105167openalex-snapshot
Global and local carbon footprints of city of Hong Kong and Macao from 2000 to 2015
inferredcites →https://doi.org/10.1016/j.resconrec.2021.105903openalex-snapshot
How urbanization and ecological conditions affect urban diet-linked GHG emissions: New evidence from China
inferredcites →https://doi.org/10.1016/j.resconrec.2021.106131openalex-snapshot
The importance of GHG emissions from land use change for biofuels in Brazil: An assessment for current and 2030 scenarios
inferredcites →https://doi.org/10.1016/j.rser.2019.02.001openalex-snapshot
Econometric modeling of CO2 emissions abatement: Comparing alternative approaches
inferredcites →https://doi.org/10.1016/j.scitotenv.2013.04.061openalex-snapshot
Greenhouse gas accounting of the proposed landfill extension and advanced incineration facility for municipal solid waste management in Hong Kong
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.152338openalex-snapshot
Towards decarbonisation targets by changing setpoint temperature to avoid building overcooling and implementing district cooling in (sub)tropical high-density cities – A case study of Hong Kong
inferredcites →https://doi.org/10.1016/j.scs.2021.102936openalex-snapshot
Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong
inferredcites →https://doi.org/10.1016/j.solener.2017.12.055openalex-snapshot
Past, present, future of solar cooling: Technical and economical considerations
inferredcites →https://doi.org/10.1016/j.spc.2021.06.029openalex-snapshot
The effects of population aging, life expectancy, unemployment rate, population density, per capita GDP, urbanization on per capita carbon emissions
inferredcites →https://doi.org/10.1016/s1352-2310(00)00115-1openalex-snapshot
Greenhouse gas emissions in Hong Kong
inferredcites →https://doi.org/10.3386/w3914openalex-snapshot
Environmental Impacts of a North American Free Trade Agreement
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4572922openalex-extracted
Critique of Carbon Emissions Trend with Building Energy Management Updates in Hong Kong
inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.126173openalex-snapshot
Synergistic decarbonization strategies for high-density cities and their neighboring areas: A case for Hong Kong and Guangdong's power system
inferred← citeshttps://doi.org/10.1016/j.clrc.2023.100132openalex-snapshot
Do global public health crises change people's behaviors towards sustainability? Evidence of the COVID-19 and sustainability nexus from Hong Kong
inferred← citeshttps://doi.org/10.1016/j.gr.2025.10.010openalex-snapshot
Greenhouse gas analysis at global scale using the CAMS EGG4 product
inferred← citeshttps://doi.org/10.1016/j.heliyon.2026.e44593openalex-snapshot
Greenhouse gases time series prediction using support vector regression coupled with decomposition techniques (DWT vs EMD vs VMD)
inferred← citeshttps://doi.org/10.1016/j.nexres.2025.101070openalex-snapshot
Türkiye’s transportation sector’s greenhouse gas emissions: Multimodal forecasting and analysis
inferred← citeshttps://doi.org/10.1016/j.scs.2024.105960openalex-snapshot
Multi-factor dynamic correlation prediction and analysis of carbon peaking for building sector: A case study of Shaanxi province
inferred← citeshttps://doi.org/10.1016/j.sftr.2025.100512openalex-snapshot
Analyzing GHG emission forecasting in Korea's semiconductor and display industries using grey model
inferred← citeshttps://doi.org/10.1080/23748834.2024.2303566openalex-snapshot
Behavioural responses to the COVID-19 pandemic and their implications for Sustainable Development Goals in Hong Kong
inferred← citeshttps://doi.org/10.3390/systems12120528openalex-snapshot
Development of a Forecasting Framework Based on Advanced Machine Learning Algorithms for Greenhouse Gas Emissions
inferred← citeshttps://doi.org/10.3390/systems13030194openalex-snapshot
Estimation of CO2 Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning: A Comprehensive Approach
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