On the public citation graph
Interpretable Machine Learning Reveals BIPV Carbon Mitigation Potential in Large-scale City of Southern China
0 signed · 33 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.adapen.2025.100212openalex-snapshot
Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy
inferredcites →https://doi.org/10.1016/j.apenergy.2018.02.118openalex-snapshot
Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests
inferredcites →https://doi.org/10.1016/j.apenergy.2020.114515openalex-snapshot
A classification system for global wave energy resources based on multivariate clustering
inferredcites →https://doi.org/10.1016/j.apenergy.2023.121005openalex-snapshot
Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based approaches
inferredcites →https://doi.org/10.1016/j.apenergy.2024.123567openalex-snapshot
Unleashing the green potential: Assessing Hong Kong's building solar PV capacity
inferredcites →https://doi.org/10.1016/j.autcon.2008.02.005openalex-snapshot
KNN based knowledge-sharing model for severe change order disputes in construction
inferredcites →https://doi.org/10.1016/j.enbuild.2022.112034openalex-snapshot
Identification of BRDF parameters with spectral measurements in the visible light spectrum towards solar irradiation evaluation in urban environment for photovoltaïc technologies
inferredcites →https://doi.org/10.1016/j.enbuild.2024.114797openalex-snapshot
Large-scale prediction of solar irradiation, shading impacts, and energy generation on building Façade through urban morphological indicators: A machine learning approach
inferredcites →https://doi.org/10.1016/j.enbuild.2024.114935openalex-snapshot
Assessing dynamics of urban solar PV power generation using grid divisional method
inferredcites →https://doi.org/10.1016/j.enconman.2024.119176openalex-snapshot
Spatially-optimized photovoltaic site selection in Algeria: Assessing solar potential using high-resolution data, GIS, and multicriteria analysis
inferredcites →https://doi.org/10.1016/j.jclepro.2018.10.239openalex-snapshot
Spatial assessment of solar energy potential at global scale. A geographical approach
inferredcites →https://doi.org/10.1016/j.jclepro.2023.139040openalex-snapshot
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
inferredcites →https://doi.org/10.1016/j.ref.2021.06.001openalex-snapshot
Solar energy harvesting on building’s rooftops: A case of a Nigeria cosmopolitan city
inferredcites →https://doi.org/10.1016/j.renene.2022.06.006openalex-snapshot
Investigation of PV utilizability on university buildings: A case study of Karachi, Pakistan
inferredcites →https://doi.org/10.1016/j.renene.2024.120075openalex-snapshot
An innovative method for evaluating the urban roof photovoltaic potential based on open-source satellite images
inferredcites →https://doi.org/10.1016/j.renene.2024.121810openalex-snapshot
A novel method for assessment rooftop PV potential based on remote sensing images
inferredcites →https://doi.org/10.1016/j.rser.2014.08.060openalex-snapshot
Modelling solar potential in the urban environment: State-of-the-art review
inferredcites →https://doi.org/10.1016/j.rser.2019.02.032openalex-snapshot
Clear sky solar irradiance models: A review of seventy models
inferredcites →https://doi.org/10.1016/j.scs.2013.01.002openalex-snapshot
Methodology for estimating solar potential on multiple building rooftops for photovoltaic systems
inferredcites →https://doi.org/10.1016/j.scs.2019.101771openalex-snapshot
Mixed-use neighborhoods layout patterns: Impact on solar access and resilience
inferredcites →https://doi.org/10.1016/j.seja.2022.100030openalex-snapshot
Adapted strategy for large-scale assessment of solar potential on facades in urban areas focusing on the reflection component
inferredcites →https://doi.org/10.1016/j.seta.2020.100651openalex-snapshot
A geospatial assessment of the rooftop decarbonisation potential of industrial and commercial zoned buildings: An example of Irish cities and regions
inferredcites →https://doi.org/10.1016/j.solener.2008.03.007openalex-snapshot
A method for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations
inferredcites →https://doi.org/10.1016/j.solener.2015.05.039openalex-snapshot
Study to examine the potential for solar energy utilization based on the relationship between urban morphology and solar radiation gain on building rooftops and wall surfaces
inferredcites →https://doi.org/10.1016/j.solener.2016.11.045openalex-snapshot
Quantifying rooftop photovoltaic solar energy potential: A machine learning approach
inferredcites →https://doi.org/10.1016/j.solener.2017.02.043openalex-snapshot
Assessment of the photovoltaic potential at urban level based on 3D city models: A case study and new methodological approach
inferredcites →https://doi.org/10.1016/j.solener.2018.01.014openalex-snapshot
Periodic urban models for optimization of passive solar irradiation
inferredcites →https://doi.org/10.1016/j.solener.2021.02.049openalex-snapshot
A morphology-based evaluation on block-scale solar potential for residential area in central China
inferredcites →https://doi.org/10.1016/j.solener.2021.07.060openalex-snapshot
Comprehensive feasibility assessment of building integrated photovoltaics (BIPV) on building surfaces in high-density urban environments
inferredcites →https://doi.org/10.1016/j.solener.2021.10.060openalex-snapshot
Prospects of photovoltaic rooftops, walls and windows at a city to building scale
inferredcites →https://doi.org/10.1016/s0168-1699(02)00115-1openalex-snapshot
A geometric solar radiation model with applications in agriculture and forestry
inferredcites →https://doi.org/10.1038/s41586-023-06180-8openalex-snapshot
Accelerating the energy transition towards photovoltaic and wind in China
inferredcites →https://doi.org/10.2478/v10117-011-0021-1openalex-snapshot
Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.