{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:22:27Z","timestamp":1742930547205,"version":"3.40.3"},"publisher-location":"Cham","reference-count":46,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030300470"},{"type":"electronic","value":"9783030300487"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30048-7_42","type":"book-chapter","created":{"date-parts":[[2019,9,22]],"date-time":"2019-09-22T19:03:06Z","timestamp":1569178986000},"page":"729-747","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Robust Scenarios of Spatio-Temporal Renewable Energy Planning: A GIS-RO Approach"],"prefix":"10.1007","author":[{"given":"Nadeem","family":"Al-Kurdi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Pillot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carmen","family":"Gervet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurent","family":"Linguet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,23]]},"reference":[{"issue":"3","key":"42_CR1","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/0038-092X(92)90068-L","volume":"49","author":"R Aguiar","year":"1992","unstructured":"Aguiar, R., Collares-Pereira, M.: TAG: a time-dependent, autoregressive, Gaussian model for generating synthetic hourly radiation. Solar Energy 49(3), 167\u2013174 (1992). \n                      https:\/\/doi.org\/10.1016\/0038-092X(92)90068-L","journal-title":"Solar Energy"},{"issue":"3","key":"42_CR2","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/0038-092X(88)90049-7","volume":"40","author":"RJ Aguiar","year":"1988","unstructured":"Aguiar, R.J., Collares-Pereira, M., Conde, J.P.: Simple procedure for generating sequences of daily radiation values using a library of Markov transition matrices. Solar Energy 40(3), 269\u2013279 (1988). \n                      https:\/\/doi.org\/10.1016\/0038-092X(88)90049-7","journal-title":"Solar Energy"},{"key":"42_CR3","doi-asserted-by":"publisher","first-page":"1225","DOI":"10.1016\/j.apenergy.2017.10.024","volume":"206","author":"HZ Al Garni","year":"2017","unstructured":"Al Garni, H.Z., Awasthi, A.: Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Appl. Energy 206, 1225\u20131240 (2017). \n                      https:\/\/doi.org\/10.1016\/j.apenergy.2017.10.024","journal-title":"Appl. Energy"},{"key":"42_CR4","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/B978-0-12-812959-3.00002-2","volume-title":"Advances in Renewable Energies and Power Technologies","author":"HZ Al Garni","year":"2018","unstructured":"Al Garni, H.Z., Awasthi, A.: Solar PV power plants site selection: a review. In: Yahyaoui, I. (ed.) Advances in Renewable Energies and Power Technologies, pp. 57\u201375. Elsevier, Amsterdam (2018). \n                      https:\/\/doi.org\/10.1016\/B978-0-12-812959-3.00002-2"},{"issue":"2","key":"42_CR5","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1080\/07038992.2015.1040876","volume":"41","author":"T Albarelo","year":"2015","unstructured":"Albarelo, T., Marie-Joseph, I., Primerose, A., Seyler, F., Wald, L., Linguet, L.: Optimizing the heliosat-II method for surface solar irradiation estimation with GOES images. Can. J. Remote Sens. 41(2), 86\u2013100 (2015). \n                      https:\/\/doi.org\/10.1080\/07038992.2015.1040876","journal-title":"Can. J. Remote Sens."},{"key":"42_CR6","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1016\/j.renene.2018.09.035","volume":"132","author":"S Ali","year":"2019","unstructured":"Ali, S., Taweekun, J., Techato, K., Waewsak, J., Gyawali, S.: GIS based site suitability assessment for wind and solar farms in Songkhla. Thai. Renewable Energy 132, 1360\u20131372 (2019). \n                      https:\/\/doi.org\/10.1016\/j.renene.2018.09.035","journal-title":"Thai. Renewable Energy"},{"issue":"3","key":"42_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0173820","volume":"12","author":"L Barbosa","year":"2017","unstructured":"Barbosa, L., Bogdanov, D., Vainikka, P., Breyer, C.: Hydro, wind and solar power as a base for a 100% renewable energy supply for South and Central America. PLoS One 12(3), 1\u201328 (2017). \n                      https:\/\/doi.org\/10.1371\/journal.pone.0173820","journal-title":"PLoS One"},{"key":"42_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0167-6377(99)00016-4","volume":"25","author":"A Ben-Tal","year":"1999","unstructured":"Ben-Tal, A., Nemirovski, A.: Robust solutions of uncertain linear programs. Oper. Res. Lett. 25, 1\u201313 (1999)","journal-title":"Oper. Res. Lett."},{"key":"42_CR9","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.enconman.2016.01.019","volume":"112","author":"D Bogdanov","year":"2016","unstructured":"Bogdanov, D., Breyer, C.: North-East Asian super grid for 100% renewable energy supply: optimal mix of energy technologies for electricity, gas and heat supply options. Energy Convers. Manage. 112, 176\u2013190 (2016). \n                      https:\/\/doi.org\/10.1016\/j.enconman.2016.01.019","journal-title":"Energy Convers. Manage."},{"key":"42_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.rser.2018.11.019","volume":"101","author":"S Bolwig","year":"2019","unstructured":"Bolwig, S., Bazbauers, G., Klitkou, A., Lund, P.D., Blumberga, A., Blumberga, D.: Review of modelling energy transitions pathways with application to energy system flexibility. Renew. Sustain. Energy Rev. 101, 1\u201323 (2019). \n                      https:\/\/doi.org\/10.1016\/j.rser.2018.11.019","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"8","key":"42_CR11","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1002\/pip.2950","volume":"26","author":"C Breyer","year":"2017","unstructured":"Breyer, C., et al.: Solar photovoltaics demand for the global energy transition in the power sector. Prog. Photovoltaics Res. Appl. 26(8), 505\u2013523 (2017). \n                      https:\/\/doi.org\/10.1002\/pip.2950","journal-title":"Prog. Photovoltaics Res. Appl."},{"issue":"8S1","key":"42_CR12","doi-asserted-by":"publisher","first-page":"08KJ01","DOI":"10.7567\/JJAP.54.08KJ01","volume":"54","author":"C Breyer","year":"2015","unstructured":"Breyer, C., Bogdanov, D., Komoto, K., Ehara, T., Song, J., Enebish, N.: North-East Asian super grid renewable energy mix and economics. Jpn. J. Appl. Phys. 54(8S1), 08KJ01 (2015)","journal-title":"Jpn. J. Appl. Phys."},{"key":"42_CR13","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1016\/j.renene.2018.09.031","volume":"132","author":"L Castro-Santos","year":"2019","unstructured":"Castro-Santos, L., Garcia, G.P., Sim\u00f5es, T., Estanqueiro, A.: Planning of the installation of offshore renewable energies: a GIS approach of the Portuguese roadmap. Renewable Energy 132, 1251\u20131262 (2019). \n                      https:\/\/doi.org\/10.1016\/j.renene.2018.09.031","journal-title":"Renewable Energy"},{"issue":"2","key":"42_CR14","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1057\/palgrave.jors.2600891","volume":"51","author":"JW Chinneck","year":"2000","unstructured":"Chinneck, J.W., Ramadan, K.: Linear programming with interval coefficients. J. Oper. Res. Soc. 51(2), 209\u2013220 (2000)","journal-title":"J. Oper. Res. Soc."},{"key":"42_CR15","unstructured":"CTG: Programmation pluriannuelle de l\u2019\u00e9nergie (PPE) 2016\u20132018 et 2019\u20132023 de la Guyane. Tech. rep., Collectivit\u00e9 Territoriale de Guyane (2017)"},{"key":"42_CR16","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.renene.2018.10.021","volume":"134","author":"M Dotzauer","year":"2019","unstructured":"Dotzauer, M., et al.: How to measure flexibility - performance indicators for demand driven power generation from biogas plants. Renewable Energy 134, 135\u2013146 (2019). \n                      https:\/\/doi.org\/10.1016\/j.renene.2018.10.021","journal-title":"Renewable Energy"},{"key":"42_CR17","unstructured":"EDF: Syst\u00e8mes \u00e9nerg\u00e9tiques insulaires Guyane - bilan pr\u00e9visionnel de l\u2019\u00e9quilibre offre \/ demande d\u2019\u00e9lectricit\u00e9. Tech. rep., EDF - Direction des Syst\u00e8mes \u00c9nerg\u00e9tiques Insulaires, Paris, France (2017)"},{"key":"42_CR18","unstructured":"EDF: Open Data EDF Guyane (2019). \n                      https:\/\/opendata-guyane.edf.fr\/pages\/home\/\n                      \n                    . Accessed 30 Apr 2019"},{"issue":"2","key":"42_CR19","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.ejor.2012.11.018","volume":"226","author":"L Ferrer-Mart\u00ed","year":"2013","unstructured":"Ferrer-Mart\u00ed, L., Domenech, B., Garc\u00eda-Villoria, A., Pastor, R.: A MILP model to design hybrid wind-photovoltaic isolated rural electrification projects in developing countries. Eur. J. Oper. Res. 226(2), 293\u2013300 (2013). \n                      https:\/\/doi.org\/10.1016\/j.ejor.2012.11.018","journal-title":"Eur. J. Oper. Res."},{"key":"42_CR20","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.renene.2017.03.081","volume":"111","author":"E Fillol","year":"2017","unstructured":"Fillol, E., Albarelo, T., Primerose, A., Wald, L., Linguet, L.: Spatiotemporal indicators of solar energy potential in the Guiana shield using GOES images. Renewable Energy 111, 11\u201325 (2017). \n                      https:\/\/doi.org\/10.1016\/j.renene.2017.03.081","journal-title":"Renewable Energy"},{"key":"42_CR21","unstructured":"GDAL\/OGR contributors: GDAL\/OGR Geospatial Data Abstraction software Library. Open Source Geospatial Foundation (2019). \n                      https:\/\/gdal.org"},{"key":"42_CR22","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1051\/ro\/2013031","volume":"47","author":"C Gervet","year":"2013","unstructured":"Gervet, C., Atef, M.: Optimal allocation of renewable energy parks: a two-stage optimization model. RAIRO-Oper. Res. 47, 125\u2013150 (2013). \n                      https:\/\/doi.org\/10.1051\/ro\/2013031","journal-title":"RAIRO-Oper. Res."},{"key":"42_CR23","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.enpol.2018.09.036","volume":"124","author":"E Hache","year":"2019","unstructured":"Hache, E., Palle, A.: Renewable energy source integration into power networks, research trends and policy implications: a bibliometric and research actorssurvey analysis. Energy Policy 124, 23\u201335 (2019). \n                      https:\/\/doi.org\/10.1016\/j.enpol.2018.09.036","journal-title":"Energy Policy"},{"key":"42_CR24","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/j.apenergy.2015.12.095","volume":"165","author":"A Heydari","year":"2016","unstructured":"Heydari, A., Askarzadeh, A.: Optimization of a biomass-based photovoltaic power plant for an off-grid application subject to loss of power supply probability concept. Appl. Energy 165, 601\u2013611 (2016). \n                      https:\/\/doi.org\/10.1016\/j.apenergy.2015.12.095","journal-title":"Appl. Energy"},{"issue":"29","key":"42_CR25","doi-asserted-by":"publisher","first-page":"884","DOI":"10.21105\/joss.00884","volume":"3","author":"WF Holmgren","year":"2018","unstructured":"Holmgren, W.F., Hansen, C.W., Mikofski, M.A.: Pvlib Python: a Python package for modeling solar energy systems. J. Open Source Softw. 3(29), 884 (2018). \n                      https:\/\/doi.org\/10.21105\/joss.00884","journal-title":"J. Open Source Softw."},{"key":"42_CR26","unstructured":"IGN: BD TOPO\u00ae Version 2.2 - Descriptif de contenu. Institut G\u00e9ographique National, Paris, France (2018). \n                      http:\/\/professionnels.ign.fr\/doc\/DC_BDTOPO_2-2.pdf"},{"key":"42_CR27","unstructured":"Jarvis, A., Reuter, H., Nelson, A., Guevara, E.: Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database. Tech. rep. \n                      http:\/\/srtm.csi.cgiar.org\n                      \n                     (2008)"},{"key":"42_CR28","unstructured":"Juffe-Bignoli, D., Bingham, H., MacSharry, B., Deguignet, M., Milam, A., Kingston, N.: World database on protected areas - User manual 1.4. United Nations Environment Programme - World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge, UK (2016)"},{"key":"42_CR29","unstructured":"Karypis, G.: METIS: a software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices. Department of Computer Science & Engineering, University of Minnesota, Minneapolis, MN 55455 (2013)"},{"issue":"1","key":"42_CR30","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1137\/S1064827595287997","volume":"20","author":"G Karypis","year":"1999","unstructured":"Karypis, G., Kumar, V.: A fast and highly quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput. 20(1), 359\u2013392 (1999)","journal-title":"SIAM J. Sci. Comput."},{"key":"42_CR31","unstructured":"NREL: Distributed generation renewable energy estimate of costs. \n                      https:\/\/www.nrel.gov\/analysis\/tech-lcoe-re-cost-est.html\n                      \n                     (2016)"},{"key":"42_CR32","volume-title":"Programme r\u00e9gional de mise en valeur foresti\u00e8re pour la production de bois d\u2019\u0153uvre - p\u00e9riode 2015\u20132019","author":"ONF Guyane","year":"2015","unstructured":"Guyane, O.N.F.: Programme r\u00e9gional de mise en valeur foresti\u00e8re pour la production de bois d\u2019\u0153uvre - p\u00e9riode 2015\u20132019. Tech. rep., Direction R\u00e9gionale ONF Guyane (2015)"},{"key":"42_CR33","unstructured":"ONF Guyane: Occupation du sol en 2015 sur la bande littorale de la Guyane et son \u00e9volution entre 2005 et 2015. Direction R\u00e9gionale ONF Guyane (2017)"},{"key":"42_CR34","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.measurement.2018.07.020","volume":"129","author":"S Ozdemir","year":"2018","unstructured":"Ozdemir, S., Sahin, G.: Multi-criteria decision-making in the location selection for a solar PV power plant using AHP measurement. J. Int. Measur. Confederation 129, 218\u2013226 (2018). \n                      https:\/\/doi.org\/10.1016\/j.measurement.2018.07.020","journal-title":"J. Int. Measur. Confederation"},{"key":"42_CR35","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.rser.2014.02.003","volume":"33","author":"S Pfenninger","year":"2014","unstructured":"Pfenninger, S., Hawkes, A., Keirstead, J.: Energy systems modeling for twenty-first century energy challenges. Renew. Sustain. Energy Rev. 33, 74\u201386 (2014). \n                      https:\/\/doi.org\/10.1016\/j.rser.2014.02.003","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"1","key":"42_CR36","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1186\/s13705-018-0157-0","volume":"8","author":"A Purkus","year":"2018","unstructured":"Purkus, A., et al.: Contributions of flexible power generation from biomass to a secure and cost-effective electricity supply -a review of potentials, incentives and obstacles in Germany. Energy Sustain. Soc. 8(1), 18 (2018). \n                      https:\/\/doi.org\/10.1186\/s13705-018-0157-0","journal-title":"Energy Sustain. Soc."},{"issue":"1","key":"42_CR37","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1186\/s13705-018-0174-z","volume":"8","author":"L Ramirez Camargo","year":"2018","unstructured":"Ramirez Camargo, L., Stoeglehner, G.: Spatiotemporal modelling for integrated spatial and energy planning. Energy Sustain. Soc. 8(1), 32 (2018). \n                      https:\/\/doi.org\/10.1186\/s13705-018-0174-z","journal-title":"Energy Sustain. Soc."},{"key":"42_CR38","unstructured":"Remund, J., M\u00fcller, S., Kunz, S., Huguenin-Landl, B., Studer, C., Cattin, R.: Meteonorm Handbook part II: Theory, Global Meteorological Database Version 7 Software and Data for Engineers, Planers and Education (2018), \n                      http:\/\/www.meteonorm.com"},{"key":"42_CR39","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.apenergy.2017.01.087","volume":"191","author":"ML Sabo","year":"2017","unstructured":"Sabo, M.L., Mariun, N., Hizam, H., Mohd Radzi, M.A., Zakaria, A.: Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia. Appl. Energy 191, 663\u2013688 (2017). \n                      https:\/\/doi.org\/10.1016\/j.apenergy.2017.01.087","journal-title":"Appl. Energy"},{"key":"42_CR40","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.energy.2015.02.044","volume":"83","author":"SH Siyal","year":"2015","unstructured":"Siyal, S.H., M\u00f6rtberg, U., Mentis, D., Welsch, M., Babelon, I., Howells, M.: Wind energy assessment considering geographic and environmental restrictions in Sweden: a GIS-based approach. Energy 83, 447\u2013461 (2015). \n                      https:\/\/doi.org\/10.1016\/j.energy.2015.02.044","journal-title":"Energy"},{"key":"42_CR41","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.apenergy.2012.01.052","volume":"94","author":"A Sultana","year":"2012","unstructured":"Sultana, A., Kumar, A.: Optimal siting and size of bioenergy facilities using geographic information system. Appl. Energy 94, 192\u2013201 (2012). \n                      https:\/\/doi.org\/10.1016\/j.apenergy.2012.01.052","journal-title":"Appl. Energy"},{"key":"42_CR42","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.biombioe.2017.10.006","volume":"108","author":"TR Teixeira","year":"2018","unstructured":"Teixeira, T.R., et al.: Forest biomass power plant installation scenarios. Biomass Bioenergy 108, 35\u201347 (2018). \n                      https:\/\/doi.org\/10.1016\/j.biombioe.2017.10.006","journal-title":"Biomass Bioenergy"},{"issue":"2","key":"42_CR43","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MCSE.2011.37","volume":"13","author":"S Walt van der","year":"2011","unstructured":"van der Walt, S., Colbert, S.C., Varoquaux, G.: The numpy array: a structure for efficient numerical computation. Comput. Sci. Eng. 13(2), 22\u201330 (2011). \n                      https:\/\/doi.org\/10.1109\/MCSE.2011.37","journal-title":"Comput. Sci. Eng."},{"issue":"4","key":"42_CR44","doi-asserted-by":"publisher","first-page":"2087","DOI":"10.3390\/su6042087","volume":"6","author":"Q Wang","year":"2014","unstructured":"Wang, Q., M\u2019Ikiugu, M., Kinoshita, I., Wang, Q., M\u2019Ikiugu, M.M., Kinoshita, I.: A GIS-based approach in support of spatial planning for renewable energy: a case study of Fukushima. Japan. Sustain. 6(4), 2087\u20132117 (2014). \n                      https:\/\/doi.org\/10.3390\/su6042087","journal-title":"Japan. Sustain."},{"key":"42_CR45","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.landurbplan.2015.02.001","volume":"138","author":"JJ Watson","year":"2015","unstructured":"Watson, J.J., Hudson, M.D.: Regional scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landscape Urban Plan. 138, 20\u201331 (2015). \n                      https:\/\/doi.org\/10.1016\/j.landurbplan.2015.02.001","journal-title":"Landscape Urban Plan."},{"issue":"10","key":"42_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/f9100585","volume":"9","author":"H Woo","year":"2018","unstructured":"Woo, H., Acuna, M., Moroni, M., Taskhiri, M.S., Turner, P.: Optimizing the location of biomass energy facilities by integrating multi-criteria analysis (MCA) and geographical information systems (GIS). Forests 9(10), 1\u201315 (2018). \n                      https:\/\/doi.org\/10.3390\/f9100585","journal-title":"Forests"}],"container-title":["Lecture Notes in Computer Science","Principles and Practice of Constraint Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30048-7_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T16:08:34Z","timestamp":1569427714000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30048-7_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030300470","9783030300487"],"references-count":46,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30048-7_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Principles and Practice of Constraint Programming","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Stamford, CT","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cp2019.a4cp.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"118","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"46","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}