THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION
暂无分享,去创建一个
T. Santhanavanich | V. Coors | S. K. Sini | R. Sihombing | P. M. Kabiro | V. Coors | T. Santhanavanich | R. Sihombing | S. Sini
[1] Preston Rodrigues. Model integration: A SOA approach , 2019 .
[2] Karl-Heinz Häfele,et al. OGC City Geography Markup Language (CityGML) Encoding Standard , 2012 .
[3] Alex Gonzalez Caceres,et al. Shortcomings and Suggestions to the EPC Recommendation List of Measures: In-Depth Interviews in Six Countries , 2018 .
[4] Jens Dambruch,et al. Leveraging public participation in urban planning with 3D web technology , 2014, Web3D '14.
[5] Verena Weiler,et al. Urban models enrichment for energy applications: Challenges in energy simulation using different data sources for building age information , 2020 .
[6] Ursula Eicker,et al. SimStadt, a new workflow-driven urban energy simulation platform for CityGML city models , 2015 .
[7] Volker Coors,et al. The influence of data quality on urban heating demand modeling using 3D city models , 2017, Comput. Environ. Urban Syst..
[8] Alessandro Capra,et al. Contribution of Geomatics Engineering and VGI Within the Landslide Risk Assessment Procedures , 2015, ICCSA.
[9] Volker Coors,et al. Using 3D CityGML Models for Building Simulation Applications at District Level , 2018, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).
[10] Thomas H. Kolbe,et al. ESTIMATION OF THE ENERGETIC REHABILITATION STATE OF BUILDINGS FOR THE CITY OF BERLIN USING A 3D CITY MODEL REPRESENTED IN CITYGML , 2010 .
[11] Alexander Zipf,et al. Open Building Models: Towards a Platform for Crowdsourcing Virtual 3D Cities , 2013 .
[12] V. Coors,et al. Comparison of building modelling assumptions and methods for urban scale heat demand forecasting , 2017 .
[13] Ralf Gutbell,et al. A case study on 3D geospatial applications in the web using state-of-the-art WebGL frameworks , 2015, Web3D.
[14] Huadong Guo,et al. Digital Earth 2020: towards the vision for the next decade , 2012, Int. J. Digit. Earth.
[15] M. Goodchild. Citizens as sensors: the world of volunteered geography , 2007 .
[16] Charalabos Ioannidis,et al. Crowdsourced 3D cadastral surveys: looking towards the next 10 years , 2019, J. Geogr. Syst..
[17] Alexander Zipf,et al. The Evolution of Geo-Crowdsourcing: Bringing Volunteered Geographic Information to the Third Dimension , 2013 .
[18] Russ Burtner,et al. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS REVIEW Open Access , 2022 .
[19] Thomas H. Kolbe,et al. Web-based Exploration of and Interaction with Large and Deeply Structured Semantic 3D City Models using HTML5 and WebGL , 2015 .
[20] Volker Coors,et al. URBAN ENERGY SIMULATION BASED ON 3D CITY MODELS: A SERVICE-ORIENTED APPROACH , 2016 .
[21] Mark Pesce,et al. The Web-Wide World , 2017, WWW.
[22] David J. Coleman,et al. Potential Contributions and Challenges of VGI for Conventional Topographic Base-Mapping Programs , 2013 .
[23] G. Agugiaro,et al. Energy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy) , 2016 .
[24] Francis Harvey,et al. To Volunteer or to Contribute Locational Information? Towards Truth in Labeling for Crowdsourced Geographic Information , 2013 .
[25] Marcus Götz,et al. Towards generating highly detailed 3D CityGML models from OpenStreetMap , 2013, Int. J. Geogr. Inf. Sci..
[26] Hermann Amecke,et al. The impact of energy performance certificates: A survey of German home owners , 2012 .