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A practical methodology for predicting electricity consumption of urban residential buildings
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ep.11796openalex-snapshot
Investigation of the effect of thermal insulation for a model house in cold regions: A case study of Turkey
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Environmental sustainability of electricity generation: Case study of lignite combustion
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Assessment of renewable energy transition in Moroccan electricity sector using a system dynamics approach
inferredcites →https://doi.org/10.1002/joc.1107openalex-snapshot
Heating degree‐days over Greece as an index of energy consumption
inferredcites →https://doi.org/10.1016/j.apenergy.2014.04.067openalex-snapshot
Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach
inferredcites →https://doi.org/10.1016/j.apenergy.2015.05.056openalex-snapshot
GHG emissions from primary aluminum production in China: Regional disparity and policy implications
inferredcites →https://doi.org/10.1016/j.apenergy.2016.06.130openalex-snapshot
Greenhouse gas emissions of motor vehicles in Chinese cities and the implication for China’s mitigation targets
inferredcites →https://doi.org/10.1016/j.buildenv.2019.106476openalex-snapshot
An analytical method for evaluating and visualizing embodied carbon emissions of buildings
inferredcites →https://doi.org/10.1016/j.eiar.2017.11.008openalex-snapshot
Assessing direct and indirect emissions of greenhouse gases in road transportation, taking into account the role of uncertainty in the emissions inventory
inferredcites →https://doi.org/10.1016/j.enbuild.2018.01.025openalex-snapshot
Lessons learnt from embodied GHG emission calculations in zero emission buildings (ZEBs) from the Norwegian ZEB research centre
inferredcites →https://doi.org/10.1016/j.enbuild.2021.110934openalex-snapshot
An examination of factors affecting residential energy consumption using a multiple discrete continuous approach
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111050openalex-snapshot
Impact of global warming on heating and cooling degree days in major Indian cities
inferredcites →https://doi.org/10.1016/j.enbuild.2022.111935openalex-snapshot
Development of climatic zoning and energy demand prediction for Ethiopian cities in degree days
inferredcites →https://doi.org/10.1016/j.enpol.2013.03.007openalex-snapshot
Using hybrid method to evaluate carbon footprint of Xiamen City, China
inferredcites →https://doi.org/10.1016/j.jclepro.2017.11.206openalex-snapshot
Could urban electric public bus really reduce the GHG emissions: A case study in Macau?
inferredcites →https://doi.org/10.1016/j.jclepro.2018.02.199openalex-snapshot
Environmental and techno-economic considerations on biodiesel production from waste frying oil in São Paulo city
inferredcites →https://doi.org/10.1016/j.jclepro.2018.04.061openalex-snapshot
A hybrid copula and life cycle analysis approach for evaluating violation risks of GHG emission targets in food production under urbanization
inferredcites →https://doi.org/10.1016/j.jclepro.2018.05.124openalex-snapshot
Life cycle energy consumption and greenhouse gas emissions of urban residential buildings in Guangzhou city
inferredcites →https://doi.org/10.1016/j.proeng.2017.07.146openalex-snapshot
Carbon Footprint and Carbon Emission Reduction of Urban Buildings: A Case in Xiamen City, China
inferredcites →https://doi.org/10.1016/j.rser.2008.09.033openalex-snapshot
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
inferredcites →https://doi.org/10.1016/j.rser.2012.02.049openalex-snapshot
A review on the prediction of building energy consumption
inferredcites →https://doi.org/10.1016/j.rser.2014.12.036openalex-snapshot
GHG footprint of major cities in India
inferredcites →https://doi.org/10.1016/j.scs.2015.10.005openalex-snapshot
Annual heating energy requirements of office buildings in a European climate
inferredcites →https://doi.org/10.1016/j.scs.2020.102165openalex-snapshot
Electricity demand of non-residential buildings in Mexico
inferredcites →https://doi.org/10.1016/j.trd.2018.03.007openalex-snapshot
Comprehensive analysis of GHG emission mitigation potentials from technology policy options in South Korea’s transportation sector using a bottom-up energy system model
inferredcites →https://doi.org/10.1016/j.uclim.2013.10.009openalex-snapshot
Interfacing citizens’ and institutions’ practice and responsibilities for climate change adaptation
inferredcites →https://doi.org/10.1016/j.uclim.2016.01.001openalex-snapshot
Temperature response functions for residential energy demand – A review of models
inferredcites →https://doi.org/10.1021/es9024194openalex-snapshot
Greenhouse Gas Emission Footprints and Energy Use Benchmarks for Eight U.S. Cities
inferredcites →https://doi.org/10.1186/s40984-016-0019-xopenalex-snapshot
Transportation energy consumption and emissions - a view from city of Indonesia
inferredcites →https://doi.org/10.3354/cr01360openalex-snapshot
Effects of climate change on heating and cooling degree days and potential energy demand in the household sector of China
inferredcites →https://doi.org/10.3390/en13020453openalex-snapshot
Spatial Characteristic of Coal Production-Based Carbon Emissions in Chinese Mining Cities
inferredcites →https://doi.org/10.3390/su10072405openalex-snapshot
From Zero Emission Buildings (ZEB) to Zero Emission Neighbourhoods (ZEN): A Mapping Review of Algorithm-Based LCA
inferredcites →https://doi.org/10.4155/cmt.10.41openalex-snapshot
Carbon footprinting for climate change management in cities
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.4663364openalex-extracted
Calculation of the Footprint of a Local Government in Turkey: the Case of Seydikemer District
inferred← citeshttps://doi.org/10.1016/j.enbuild.2024.114446openalex-snapshot
Spatial distribution of energy consumption: Integrating climate and macro-statistics for insights from clustering and sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.energy.2025.138195openalex-snapshot
Machine learning for subnational residential electricity demand forecasting to 2050 under shared socioeconomic pathways: Comparing tree-based, neural and kernel methods
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.121658openalex-snapshot
Towards context-independent indicators for an unbiased assessment of environmental sustainability in higher education: An application to Italian universities
inferred← citeshttps://doi.org/10.1016/j.scs.2026.107618openalex-snapshot
A database of building energy use determinants across spatial scales: Patterns, policies, and a multi-metric framework for retrofitting
inferred← citeshttps://doi.org/10.4108/eai.8-12-2023.2344731openalex-snapshot
Comparison of the Accuracy of Predicting Electricity Revenue by Predicting Electricity Quantity and Predicting Electricity Revenue by Historical Received Electricity Fees
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