{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:23:14Z","timestamp":1759962194229,"version":"3.37.3"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000761","name":"Imperial College London","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000761","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671339","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"4035-4046","source":"Crossref","is-referenced-by-count":4,"title":["Geospatial Big Data analytics to model the long-term sustainable transition of residential heating worldwide"],"prefix":"10.1109","author":[{"given":"Diego","family":"Moya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara","family":"Giarola","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Hawkes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.024"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.03.015"},{"journal-title":"Data Mining Concepts and Techniques","year":"2011","author":"han","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.05.011"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"115834","DOI":"10.1016\/j.apenergy.2020.115834","article-title":"A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making","volume":"279","author":"ali","year":"2020","journal-title":"Applied Energy"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.01.003"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.12.039"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.08.121"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.10.011"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"103191","DOI":"10.1016\/j.scs.2021.103191","article-title":"An energy consumption model for the Algerian residential building&#x2019;s stock, based on a triangular approach: Geographic Information System (GIS), regression analysis and hierarchical cluster analysis","volume":"74","author":"afaifia","year":"2021","journal-title":"Sustainable Cities and Society"},{"journal-title":"Climate Change 2014 Mitigation of climate change","year":"2015","key":"ref10"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.12.136"},{"article-title":"Global GIS-Based District Heating and Cooling Potential Assessment for the Residential Building Sector","year":"2018","author":"sachs","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.4"},{"article-title":"Gridded Population of the World (GPW), v4","year":"0","author":"gallery","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.07.041"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.enpol.2018.08.025","article-title":"How to develop district heating in Finland?","volume":"122","author":"paiho","year":"0","journal-title":"Energy Policy"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.05.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.10.041"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/B0-12-176480-X\/00214-X"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10584-013-0772-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.11.028"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.erss.2018.12.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2013.06.028"},{"year":"0","key":"ref3","article-title":"Adoption of the Paris Agreement: Proposal by the President: Draft Decision -\/CP.21"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.06.290"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2016.11.047"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.02.003"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.05.022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.08.079"},{"year":"0","key":"ref2","article-title":"COP26 GOALS"},{"key":"ref9","first-page":"186","article-title":"A GIS-based statistical approach to prioritize the retrofit of housing stocks at the urban scale","volume":"3","author":"mastrucci","year":"2016","journal-title":"Journal of Energy Challenges and Mechanics"},{"key":"ref1","article-title":"Global decarbonisation pathways of the residential sector applying GIS and ABM approaches","author":"diego","year":"2021","journal-title":"PhD Chemincal Engineering"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.gloenvcha.2015.01.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.06.138"},{"year":"0","key":"ref45","article-title":"The ModUlar energy system Simulation Environment (MUSE)"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.enpol.2012.11.021","article-title":"Long term building energy demand for India: Disaggregating end use energy services in an integrated assessment modeling framework","volume":"64","author":"chaturvedi","year":"2014","journal-title":"Energy Policy"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s12053-018-9710-0"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1016\/j.energy.2017.07.037","article-title":"Heat Roadmap Europe: Quantitative comparison between the electricity, heating, and cooling sectors for different European countries","volume":"139","author":"connolly","year":"2017","journal-title":"Energy"},{"key":"ref42","first-page":"100","article-title":"Algorithm AS 136: A k-means clustering algorithm","volume":"28","author":"hartigan","year":"1979","journal-title":"Journal of the Royal Statistical Society Series C (Applied Statistics)"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"4795","DOI":"10.1016\/j.enpol.2011.06.041","article-title":"Heating and cooling energy demand and related emissions of the German residential building stock under climate change","volume":"39","author":"olonscheck","year":"2011","journal-title":"Energy Policy"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00293"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2013.05.041"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"115295","DOI":"10.1016\/j.apenergy.2020.115295","article-title":"Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India&#x2019;s industry sector","volume":"274","author":"moya","year":"2020","journal-title":"Applied Energy"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2008.09.051"},{"key":"ref43","article-title":"Agent-based model for energy-related investment decisions in the residential building sector","author":"sachs","year":"0","journal-title":"2017 International Energy Workshop"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.08.039"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671339.pdf?arnumber=9671339","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:26Z","timestamp":1652201726000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671339\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671339","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}