GIScience can facilitate the development of solar cities for energy transition

[1]  Bisheng Yang,et al.  Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery , 2023, Int. J. Appl. Earth Obs. Geoinformation.

[2]  Rui Zhu,et al.  Vectorized dataset of roadside noise barriers in China using street view imagery , 2022, Earth System Science Data.

[3]  Rui Zhu,et al.  Simplified estimation modeling of land surface solar irradiation: A comparative study in Australia and China , 2022, Sustainable Energy Technologies and Assessments.

[4]  Ahmad M. Senousi,et al.  Geographic information science in the era of geospatial big data: A cyberspace perspective , 2022, Innovation (Cambridge (Mass.)).

[5]  Shaofu Lin,et al.  Accurate Recognition of Building Rooftops and Assessment of Long-Term Carbon Emission Reduction from Rooftop Solar Photovoltaic Systems Fusing GF-2 and Multi-Source Data , 2022, Remote. Sens..

[6]  Feng Wu,et al.  Extraction of Photovoltaic Plants Using Machine Learning Methods: A Case Study of the Pilot Energy City of Golmud, China , 2022, Remote. Sens..

[7]  C. Ratti,et al.  Optimization of photovoltaic provision in a three-dimensional city using real-time electricity demand , 2022, Applied Energy.

[8]  Dániel Kondor,et al.  Solar photovoltaic generation for charging shared electric scooters , 2022, Applied Energy.

[9]  Zihan Liu,et al.  Long‐Term and Fine‐Scale Surface Urban Heat Island Dynamics Revealed by Landsat Data Since the 1980s: A Comparison of Four Megacities in China , 2022, Journal of Geophysical Research: Atmospheres.

[10]  Guonian Lü,et al.  Vectorized rooftop area data for 90 cities in China , 2022, Scientific Data.

[11]  Guonian Lü,et al.  Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery , 2022, Int. J. Appl. Earth Obs. Geoinformation.

[12]  T. Hong,et al.  Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives , 2022, Advances in Applied Energy.

[13]  C. Ratti,et al.  An economically feasible optimization of photovoltaic provision using real electricity demand: A case study in New York city , 2022, Sustainable Cities and Society.

[14]  Rui Zhu,et al.  Using street view images to identify road noise barriers with ensemble classification model and geospatial analysis , 2021, Sustainable Cities and Society.

[15]  Xuan Song,et al.  Understanding Rooftop PV Panel Semantic Segmentation of Satellite and Aerial Images for Better Using Machine Learning , 2021, Advances in Applied Energy.

[16]  R. Madlener,et al.  The Economic Potential of Grid Defection of Energy Prosumer Households in Germany , 2021, Advances in Applied Energy.

[17]  P. Shukla,et al.  High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation , 2021, Nature Communications.

[18]  C. Hepburn,et al.  A global inventory of photovoltaic solar energy generating units , 2021, Nature.

[19]  Guonian Lü,et al.  A city-scale estimation of rooftop solar photovoltaic potential based on deep learning , 2021 .

[20]  Y. Wang,et al.  Urban cells: Extending the energy hub concept to facilitate sector and spatial coupling , 2021, Advances in Applied Energy.

[21]  N. Lu,et al.  Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery , 2021, Earth System Science Data.

[22]  Cheng Wang,et al.  Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images , 2021, Remote. Sens..

[23]  Osmar Luiz Ferreira de Carvalho,et al.  Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation , 2021, Energies.

[24]  Hongjie He,et al.  A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images , 2021 .

[25]  Yanfeng Liu,et al.  A review on global solar radiation prediction with machine learning models in a comprehensive perspective , 2021 .

[26]  J. Pearce,et al.  Electric vehicle charging potential from retail parking lot solar photovoltaic awnings , 2021, Renewable Energy.

[27]  Wesley J. Cole,et al.  The evolving energy and capacity values of utility-scale PV-plus-battery hybrid system architectures , 2021, Advances in Applied Energy.

[28]  Rui Zhu,et al.  Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery , 2021 .

[29]  C. Ratti,et al.  Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities , 2021, Environmental Research Letters.

[30]  R. Lester,et al.  The design space for long-duration energy storage in decarbonized power systems , 2021, Nature Energy.

[31]  Kaicun Wang,et al.  Merging ground-based sunshine duration observations with satellite cloud and aerosol retrievals to produce high-resolution long-term surface solar radiation over China , 2021, Earth System Science Data.

[32]  Kristina Orehounig,et al.  Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective , 2021, Renewable and Sustainable Energy Reviews.

[33]  Parameswaran Kamalaruban,et al.  Applications of reinforcement learning in energy systems , 2021, Renewable and Sustainable Energy Reviews.

[34]  Bo Liu,et al.  Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images , 2020, Int. J. Digit. Earth.

[35]  David Irwin,et al.  Greening Electric Bike Sharing Using Solar Charging Stations , 2020, BuildSys@SenSys.

[36]  M. Zeman,et al.  A quick-scan method to assess photovoltaic rooftop potential based on aerial imagery and LiDAR , 2020 .

[37]  Yongqian Liu,et al.  EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs , 2020 .

[38]  Desheng Li,et al.  An energy management strategy with renewable energy and energy storage system for a large electric vehicle charging station , 2020 .

[39]  Francesca Grazian,et al.  Sustainable E-Bike Charging Station That Enables AC, DC and Wireless Charging from Solar Energy , 2020, Energies.

[40]  Farid Melgani,et al.  A comprehensive review of hybrid models for solar radiation forecasting , 2020 .

[41]  H. Ho,et al.  The effect of urban morphology on the solar capacity of three-dimensional cities , 2020, Renewable Energy.

[42]  Jean-Louis Scartezzini,et al.  Introducing reinforcement learning to the energy system design process , 2020 .

[43]  H. Fathabadi.  Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (PHEVs) , 2020 .

[44]  Chadi Assi,et al.  Optimal Scheduling of EV Charging at a Solar Power-Based Charging Station , 2020, IEEE Systems Journal.

[45]  Mawloud Guermoui,et al.  Hybrid models for global solar radiation prediction: a case study , 2020 .

[46]  Yongjun Sun,et al.  Geographic Information System-assisted optimal design of renewable powered electric vehicle charging stations in high-density cities , 2019 .

[47]  Nahid Mohajeri,et al.  Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050 , 2019 .

[48]  C. Ratti,et al.  Solar accessibility in developing cities: A case study in Kowloon East, Hong Kong , 2019, Sustainable Cities and Society.

[49]  V. K. Giri,et al.  Solar radiation forecasting using MARS, CART, M5, and random forest model: A case study for India , 2019, Heliyon.

[50]  Rahul G. Makade,et al.  Prediction of global solar radiation using a single empirical model for diversified locations across India , 2019, Urban Climate.

[51]  Jean-Louis Scartezzini,et al.  Machine learning methods to assist energy system optimization , 2019, Applied Energy.

[52]  Jan Carmeliet,et al.  Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials , 2019, Applied Energy.

[53]  Soteris A. Kalogirou,et al.  Siting and building-massing considerations for the urban integration of active solar energy systems , 2019, Renewable Energy.

[54]  L. Norford,et al.  Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment , 2019, Building and Environment.

[55]  N. Mithulananthan,et al.  Coordinated EV charging for correlated EV and grid loads and PV output using a novel, correlated, probabilistic model , 2019, International Journal of Electrical Power & Energy Systems.

[56]  Hui Lin,et al.  Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective , 2018, Int. J. Geogr. Inf. Sci..

[57]  Jiafan Yu,et al.  DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States , 2018, Joule.

[58]  Nilofar Asim,et al.  The role of existing infrastructure of fuel stations in deploying solar charging systems, electric vehicles and solar energy: A preliminary analysis , 2018, Technological Forecasting and Social Change.

[59]  Jaume Salom,et al.  Simulation Tools to Build Urban-Scale Energy Models: A Review , 2018, Energies.

[60]  Jiangye Yuan,et al.  Learning Building Extraction in Aerial Scenes with Convolutional Networks , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[61]  D. Blumberga,et al.  Solar energy integration in future urban plans of the South and Nordic cities , 2018, Energy Procedia.

[62]  Qi Cui,et al.  Photovoltaic panel extraction from very high-resolution aerial imagery using region–line primitive association analysis and template matching , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[63]  D. Assouline,et al.  A city-scale roof shape classification using machine learning for solar energy applications , 2018, Renewable Energy.

[64]  D. Assouline,et al.  Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests , 2018 .

[65]  M. EL-Shimy,et al.  A new empirical model for forecasting the diffuse solar radiation over Sahara in the Algerian Big South , 2018 .

[66]  Jean-Louis Scartezzini,et al.  Improving the energy sustainability of a Swiss village through building renovation and renewable energy integration , 2018 .

[67]  Hassan Fathabadi,et al.  Novel battery/photovoltaic hybrid power source for plug-in hybrid electric vehicles , 2018 .

[68]  Pedro Nunes,et al.  The feasibility of solar parking lots for electric vehicles , 2017 .

[69]  M. Wong,et al.  Understanding heat patterns produced by vehicular flows in urban areas , 2017, Scientific Reports.

[70]  Michele Morganti,et al.  Urban morphology indicators for solar energy analysis , 2017 .

[71]  Wolf Fichtner,et al.  Assessment of rooftop photovoltaic potentials at the urban level using publicly available geodata and image recognition techniques , 2017 .

[72]  Jean-Louis Scartezzini,et al.  An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making , 2017 .

[73]  S. Carlucci,et al.  Boosting solar accessibility and potential of urban districts in the Nordic climate: A case study in Trondheim , 2017 .

[74]  Soteris A. Kalogirou,et al.  Machine learning methods for solar radiation forecasting: A review , 2017 .

[75]  S. Deng,et al.  A critical review of the models used to estimate solar radiation , 2017 .

[76]  Jean-Louis Scartezzini,et al.  Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid , 2017 .

[77]  Peer-Olaf Siebers,et al.  Towards Generalized Co-simulation of Urban Energy Systems , 2017 .

[78]  Jordan M. Malof,et al.  Distributed solar photovoltaic array location and extent dataset for remote sensing object identification , 2016, Scientific Data.

[79]  Pak Wai Chan,et al.  Development of an improved urban emissivity model based on sky view factor for retrieving effective emissivity and surface temperature over urban areas , 2016 .

[80]  Pedro Nunes,et al.  The use of parking lots to solar-charge electric vehicles , 2016 .

[81]  Lin Lu,et al.  Estimation of Hong Kong's solar energy potential using GIS and remote sensing technologies , 2016 .

[82]  Jiangye Yuan,et al.  2016 Ieee International Conference on Big Data (big Data) Large-scale Solar Panel Mapping from Aerial Images Using Deep Convolutional Networks , 2022 .

[83]  M. Nikolopoulou,et al.  Urban geometry and solar availability on façades and ground of real urban forms: using London as a case study , 2016 .

[84]  A. Cronin,et al.  The Photovoltaic Heat Island Effect: Larger solar power plants increase local temperatures , 2016, Scientific Reports.

[85]  Chunlu Liu,et al.  A pixel-based approach to estimation of solar energy potential on building roofs , 2016 .

[86]  D. Assouline,et al.  Effects of urban compactness on solar energy potential , 2016 .

[87]  Jordan M. Malof,et al.  Automatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery , 2016, ArXiv.

[88]  Gorazd Štumberger,et al.  Economic and environmental assessment of rooftops regarding suitability for photovoltaic systems installation based on remote sensing data , 2016 .

[89]  Francesco Frontini,et al.  Solar Radiation and Daylighting Assessment Using the Sky-view Factor (SVF) Analysis as Method to Evaluate Urban Planning Densification Policies Impacts , 2016 .

[90]  D. Kammen,et al.  City-integrated renewable energy for urban sustainability , 2016, Science.

[91]  Tetsuo Tezuka,et al.  Residential solar PV policy: An analysis of impacts, successes and failures in the Australian case , 2016 .

[92]  Francois Vallee,et al.  Implementation of an e-bike sharing system: The effect on low voltage network using pv and smart charging stations , 2015, 2015 International Conference on Renewable Energy Research and Applications (ICRERA).

[93]  Alison S. Tomlin,et al.  Modelling of roof geometries from low-resolution LiDAR data for city-scale solar energy applications using a neighbouring buildings method , 2015 .

[94]  T. Honjo,et al.  Solar energy on building envelopes - 3D modelling in a 2D environment , 2015 .

[95]  Xin Li,et al.  An integrated approach to estimate shortwave solar radiation on clear-sky days in rugged terrain using MODIS atmospheric products , 2015 .

[96]  Pedro Nunes,et al.  Day charging electric vehicles with excess solar electricity for a sustainable energy system , 2015 .

[97]  Ming Li,et al.  An open-source 3D solar radiation model integrated with a 3D Geographic Information System , 2015, Environ. Model. Softw..

[98]  P. Ekins,et al.  The geographical distribution of fossil fuels unused when limiting global warming to 2 °C , 2015, Nature.

[99]  Miguel Brito,et al.  Modelling solar potential in the urban environment: State-of-the-art review , 2015 .

[100]  Ramesh C. Bansal,et al.  A review of key power system stability challenges for large-scale PV integration , 2015 .

[101]  Mahmoud Omid,et al.  A comparative study between fuzzy linear regression and support vector regression for global solar radiation prediction in Iran , 2014 .

[102]  V. Masson,et al.  Solar panels reduce both global warming and urban heat island , 2014, Front. Environ. Sci..

[103]  John K. Kaldellis,et al.  Temperature and wind speed impact on the efficiency of PV installations. Experience obtained from outdoor measurements in Greece , 2014 .

[104]  Jianping Huang,et al.  Evolution of land surface air temperature trend , 2014 .

[105]  Cristina Catita,et al.  Extending solar potential analysis in buildings to vertical facades , 2014, Comput. Geosci..

[106]  Shengjun Wu,et al.  Estimation of monthly-mean global solar radiation using MODIS atmospheric product over China , 2014 .

[107]  Jianhua Gong,et al.  A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D–2D surface mapping , 2014, Int. J. Geogr. Inf. Sci..

[108]  R. Erdélyi,et al.  Three-dimensional SOlar RAdiation Model (SORAM) and its application to 3-D urban planning , 2014 .

[109]  Gabriele Lobaccaro,et al.  Solar Energy in Urban Environment: How Urban Densification Affects Existing Buildings☆ , 2014 .

[110]  Maria Wall,et al.  Typical Values for Active Solar Energy in Urban Planning , 2014 .

[111]  J. Widén,et al.  Quantifying self-consumption of on-site photovoltaic power generation in households with electric vehicle home charging , 2013 .

[112]  Hui Lin,et al.  Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool , 2013 .

[113]  M. Brito,et al.  Solar energy potential on roofs and facades in an urban landscape , 2013 .

[114]  Michael Kuss,et al.  Co-benefits of large scale plug-in hybrid electric vehicle and solar PV deployment , 2013 .

[115]  Giorgio Rizzoni,et al.  Economic and environmental impacts of a PV powered workplace parking garage charging station , 2013 .

[116]  C. Reinhart,et al.  A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations , 2013 .

[117]  V. Fthenakis,et al.  Analysis of the potential for a heat island effect in large solar farms , 2013, 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC).

[118]  Martin Wietschel,et al.  Integration of intermittent renewable power supply using grid-connected vehicles – A 2030 case study for California and Germany , 2013 .

[119]  Jaroslav Hofierka,et al.  A New 3‐D Solar Radiation Model for 3‐D City Models , 2012, Trans. GIS.

[120]  Gabriele Lobaccaro,et al.  SolarPW: A New Solar Design Tool to Exploit Solar Potential in Existing Urban Areas , 2012 .

[121]  Massimiliano Manfren,et al.  Paradigm shift in urban energy systems through distributed generation: Methods and models , 2011 .

[122]  N. Fueyo,et al.  Roof-top solar energy potential under performance-based building energy codes: The case of Spain , 2011 .

[123]  Jasper Rigter,et al.  Cost and optimal feed-in tariff for small scale photovoltaic systems in China , 2010 .

[124]  H. Matthews,et al.  Future CO2 Emissions and Climate Change from Existing Energy Infrastructure , 2010, Science.

[125]  R. Betts,et al.  Climate change in cities due to global warming and urban effects , 2010 .

[126]  Hermann Scheer,et al.  Solar City: Reconnecting Energy Generation and Use to the Technical and Social Logic of Solar Energy , 2008 .

[127]  Timothy Beatley,et al.  Envisioning Solar Cities: Urban Futures Powered By Sustainable Energy , 2007 .

[128]  G. Andersson,et al.  Energy hubs for the future , 2007, IEEE Power and Energy Magazine.

[129]  Jong-dall Kim,et al.  The Solar City Daegu 2050 Project: Visions for a Sustainable City , 2006 .

[130]  W. Vanderburg.  Knowledge Infrastructures for Solar Cities , 2006 .

[131]  Dania González Couret,et al.  From a scholar city to a solar city , 1998 .

[132]  E. L. Maxwell,et al.  METSTAT—The solar radiation model used in the production of the National Solar Radiation Data Base (NSRDB) , 1998 .

[133]  R. Bird.  A simple, solar spectral model for direct-normal and diffuse horizontal irradiance , 1984 .

[134]  M Milne,et al.  Three solar urban futures: characterization of a future community under three energy-supply scenarios , 1979 .