{"id":"https://openalex.org/W4366381071","doi":"https://doi.org/10.1145/3584376.3584603","title":"An Optimal Model of Power Source Investment Considering Carbon Emission Constraint Based on Deep Deterministic Policy Gradient Algorithm","display_name":"An Optimal Model of Power Source Investment Considering Carbon Emission Constraint Based on Deep Deterministic Policy Gradient Algorithm","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366381071","doi":"https://doi.org/10.1145/3584376.3584603"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584603","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5078322500","display_name":"Yawei Xue","orcid":"https://orcid.org/0000-0002-8796-3314"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yawei Xue","raw_affiliation_strings":["State Grid Economic and Technological Research Institute CO.LTD, China"],"raw_orcid":"https://orcid.org/0000-0002-8796-3314","affiliations":[{"raw_affiliation_string":"State Grid Economic and Technological Research Institute CO.LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083535910","display_name":"Yizheng Li","orcid":"https://orcid.org/0000-0001-9158-4424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yizheng Li","raw_affiliation_strings":["State Grid Economic and Technological Research Institute CO.LTD, China"],"raw_orcid":"https://orcid.org/0000-0001-9158-4424","affiliations":[{"raw_affiliation_string":"State Grid Economic and Technological Research Institute CO.LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081010619","display_name":"Xueying Wang","orcid":"https://orcid.org/0000-0002-4176-9831"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueying Wang","raw_affiliation_strings":["State Grid Economic and Technological Research Institute CO.LTD, China"],"raw_orcid":"https://orcid.org/0000-0002-4176-9831","affiliations":[{"raw_affiliation_string":"State Grid Economic and Technological Research Institute CO.LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026290505","display_name":"Lang Zhao","orcid":"https://orcid.org/0000-0001-7727-485X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lang Zhao","raw_affiliation_strings":["State Grid Economic and Technological Research Institute CO.LTD, China"],"raw_orcid":"https://orcid.org/0000-0001-7727-485X","affiliations":[{"raw_affiliation_string":"State Grid Economic and Technological Research Institute CO.LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012962832","display_name":"Tianqi Zhang","orcid":"https://orcid.org/0000-0002-3270-6492"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianqi Zhang","raw_affiliation_strings":["State Grid Economic and Technological Research Institute CO.LTD, China"],"raw_orcid":"https://orcid.org/0000-0002-3270-6492","affiliations":[{"raw_affiliation_string":"State Grid Economic and Technological Research Institute CO.LTD, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101902940","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0003-2264-4205"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["Tianjin University, China"],"raw_orcid":"https://orcid.org/0000-0003-2264-4205","affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078322500"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14542296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1289","last_page":"1293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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/T10424","display_name":"Electric Power System Optimization","score":0.9914000034332275,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9678999781608582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7440772652626038},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7317759394645691},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.6275612115859985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5582345724105835},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5513781905174255},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5346476435661316},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5028600096702576},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4420512020587921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35969796776771545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3481448292732239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20409220457077026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20087361335754395},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08345112204551697},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06553822755813599}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7440772652626038},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7317759394645691},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.6275612115859985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582345724105835},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5513781905174255},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5346476435661316},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5028600096702576},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4420512020587921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35969796776771545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3481448292732239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20409220457077026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20087361335754395},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08345112204551697},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06553822755813599},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584603","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2345876547","https://openalex.org/W3092859384","https://openalex.org/W4200289783","https://openalex.org/W4245433393"],"related_works":["https://openalex.org/W2923653485","https://openalex.org/W2957776456","https://openalex.org/W4319773215","https://openalex.org/W4361026739","https://openalex.org/W2952472710","https://openalex.org/W4255994452","https://openalex.org/W4206669594","https://openalex.org/W4281556647","https://openalex.org/W3200353301","https://openalex.org/W2071287365"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3,74,81],"learning":[4,7,75,78],"and":[5,19,39,46,63,76,91,103],"reinforcement":[6,77],"algorithms":[8],"have":[9],"attracted":[10],"wide":[11],"attention":[12],"in":[13,29],"the":[14,24,30,36,41,54,71,97,100,108],"field":[15],"of":[16,32,43,73,99,111],"power":[17,26,33,51,56,93],"investment":[18,27,34,57,94],"planning.":[20],"This":[21],"paper":[22],"takes":[23],"low-carbon":[25],"model":[28,58,102],"process":[31],"as":[35],"research":[37],"object,":[38],"analyzes":[40],"influence":[42],"carbon":[44,64],"emission":[45,65],"coal":[47,60],"burning":[48],"constraints":[49],"on":[50],"investment.":[52],"Firstly,":[53],"optimal":[55],"considering":[59,70],"supply":[61],"constraint":[62,66],"is":[67,87,105],"established.":[68],"Then,":[69],"advantages":[72],"algorithms,":[79],"a":[80],"deterministic":[82],"policy":[83],"gradient":[84],"(DDPG)":[85],"algorithm":[86,104],"proposed":[88,101],"to":[89],"select":[90],"optimize":[92],"schemes.":[95],"Finally,":[96],"effectiveness":[98],"verified":[106],"by":[107],"sensitivity":[109],"analysis":[110],"an":[112],"example.":[113]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}