{"id":"https://openalex.org/W4413209904","doi":"https://doi.org/10.1145/3712255.3726704","title":"Symbolic Regression for Modelling Decarbonisation Pathways in the Global Energy-Economy-Climate System","display_name":"Symbolic Regression for Modelling Decarbonisation Pathways in the Global Energy-Economy-Climate System","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4413209904","doi":"https://doi.org/10.1145/3712255.3726704"},"language":"en","primary_location":{"id":"doi:10.1145/3712255.3726704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726704","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067381332","display_name":"James McDermott","orcid":"https://orcid.org/0000-0002-1402-6995"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"James McDermott","raw_affiliation_strings":["University of Galway, Galway, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-1402-6995","affiliations":[{"raw_affiliation_string":"University of Galway, Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029632183","display_name":"James Glynn","orcid":"https://orcid.org/0000-0001-7004-0153"},"institutions":[{"id":"https://openalex.org/I4210159338","display_name":"Future Analytics","ror":"https://ror.org/05nym7d38","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210159338"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"James Glynn","raw_affiliation_strings":["Energy Systems Modelling Analytics, Galway, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-7004-0153","affiliations":[{"raw_affiliation_string":"Energy Systems Modelling Analytics, Galway, Ireland","institution_ids":["https://openalex.org/I4210159338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119305011","display_name":"Iain Morrow","orcid":null},"institutions":[{"id":"https://openalex.org/I1298563314","display_name":"ActionAid","ror":"https://ror.org/01pgn1y88","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298563314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iain Morrow","raw_affiliation_strings":["Actionable Models, Galway, Ireland"],"raw_orcid":"https://orcid.org/0009-0009-1262-9109","affiliations":[{"raw_affiliation_string":"Actionable Models, Galway, Ireland","institution_ids":["https://openalex.org/I1298563314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019583756","display_name":"Evangelos Panos","orcid":"https://orcid.org/0000-0002-0620-2581"},"institutions":[{"id":"https://openalex.org/I1330989302","display_name":"United States Department of Energy","ror":"https://ror.org/01bj3aw27","country_code":"US","type":"government","lineage":["https://openalex.org/I1330989302"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos Panos","raw_affiliation_strings":["Energy Economics Group, Laboratory for Energy Systems Analysis, PSI Centers for Nuclear Engineering & Sciences and Energy & Environmental Sciences, Villigen, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-0620-2581","affiliations":[{"raw_affiliation_string":"Energy Economics Group, Laboratory for Energy Systems Analysis, PSI Centers for Nuclear Engineering & Sciences and Energy & Environmental Sciences, Villigen, Switzerland","institution_ids":["https://openalex.org/I1330989302"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46938776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"871","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12639","display_name":"Global Energy and Sustainability Research","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.5681827664375305},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.514076828956604},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.502851665019989},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4765927493572235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.464335560798645},{"id":"https://openalex.org/keywords/energy-system","display_name":"Energy system","score":0.44071725010871887},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33448904752731323},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.24518755078315735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15363842248916626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1535232961177826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12372201681137085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.113514244556427},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.0882800817489624}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.5681827664375305},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.514076828956604},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.502851665019989},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4765927493572235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.464335560798645},{"id":"https://openalex.org/C2781341389","wikidata":"https://www.wikidata.org/wiki/Q4531977","display_name":"Energy system","level":3,"score":0.44071725010871887},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33448904752731323},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24518755078315735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15363842248916626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1535232961177826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12372201681137085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.113514244556427},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.0882800817489624}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3712255.3726704","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726704","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:dora:psi_79149","is_oa":false,"landing_page_url":"https://www.sigevo.org/gecco-2025/toc.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402574","display_name":"DORA PSI (Paul Scherrer Institute)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802229908","host_organization_name":"Paul Scherrer Institute","host_organization_lineage":["https://openalex.org/I2802229908"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO '25: proceedings of the genetic and evolutionary computation conference","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2009234534","https://openalex.org/W2011174137","https://openalex.org/W2346893305","https://openalex.org/W2607589993","https://openalex.org/W2904934082","https://openalex.org/W4283700667","https://openalex.org/W4382725625","https://openalex.org/W4404058369"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2033164327","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W164238414","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022"],"abstract_inverted_index":{"The":[0,73],"ETSAP-TIAM":[1],"Model":[2],"is":[3,53],"a":[4,15,36,63,97],"process-based":[5],"optimisation":[6],"model":[7,19,52,84,93],"of":[8,45,65,81,116],"the":[9,43,51,82,107],"global":[10],"energy":[11,24],"system,":[12],"integrated":[13],"with":[14,100],"climate":[16],"and":[17,30,56,78,92,113],"economy":[18],"that":[20],"explicitly":[21],"represents":[22],"detailed":[23],"technology":[25],"processes":[26],"including":[27],"generation,":[28],"transmission,":[29],"end-use":[31],"across":[32],"sectors.":[33],"It":[34],"provides":[35],"tool":[37],"to":[38,85],"inform":[39],"policy":[40,46],"by":[41],"examining":[42],"effects":[44],"changes":[47],"on":[48,106],"outcomes.":[49],"However,":[50],"complex,":[54],"large,":[55],"unwieldy.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,95,111],"develop":[62],"suite":[64],"Genetic":[66],"Programming":[67],"Symbolic":[68],"Regression":[69],"(SR)":[70],"surrogate":[71],"models.":[72,118],"benefits":[74],"are":[75],"both":[76,89],"interpretability":[77],"instant":[79],"response":[80],"new":[83],"parameter":[86],"changes.":[87],"Considering":[88],"regression":[90],"performance":[91],"complexity,":[94],"compare":[96],"SR":[98],"system":[99],"strong":[101],"baselines,":[102],"exploring":[103],"different":[104],"points":[105],"performance\u2014interpretability":[108],"curve.":[109],"Finally,":[110],"read":[112],"interpret":[114],"several":[115],"our":[117]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}