{"id":"https://openalex.org/W3014024317","doi":"https://doi.org/10.1145/3373509.3373553","title":"A Self-adaptive Multi-objective Cross-entropy Method for Hybrid Renewable Energy Systems","display_name":"A Self-adaptive Multi-objective Cross-entropy Method for Hybrid Renewable Energy Systems","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W3014024317","doi":"https://doi.org/10.1145/3373509.3373553","mag":"3014024317"},"language":"en","primary_location":{"id":"doi:10.1145/3373509.3373553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","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/A5091279114","display_name":"Qun Niu","orcid":"https://orcid.org/0000-0002-6142-5702"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qun Niu","raw_affiliation_strings":["Shanghai University, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103104391","display_name":"Ming You","orcid":"https://orcid.org/0000-0002-4579-7186"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming You","raw_affiliation_strings":["Shanghai University, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042403470","display_name":"Ziyuan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Sun","raw_affiliation_strings":["Shanghai University, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091279114"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21771548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"494","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/T11336","display_name":"Energy and Environment Impacts","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10568","display_name":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/renewable-energy","display_name":"Renewable energy","score":0.6982667446136475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6859529614448547},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6309500932693481},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6049690246582031},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5816593170166016},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.5739370584487915},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.564510703086853},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5124691128730774},{"id":"https://openalex.org/keywords/hybrid-system","display_name":"Hybrid system","score":0.45584601163864136},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.222447007894516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19257372617721558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17509588599205017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1264965534210205},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11145249009132385}],"concepts":[{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.6982667446136475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859529614448547},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6309500932693481},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6049690246582031},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5816593170166016},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.5739370584487915},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.564510703086853},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5124691128730774},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.45584601163864136},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.222447007894516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19257372617721558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17509588599205017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1264965534210205},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11145249009132385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373509.3373553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W971170951","https://openalex.org/W1543520236","https://openalex.org/W1729544117","https://openalex.org/W1762364609","https://openalex.org/W1966760988","https://openalex.org/W1971755897","https://openalex.org/W1975905140","https://openalex.org/W1988659752","https://openalex.org/W2004118122","https://openalex.org/W2008366144","https://openalex.org/W2022166505","https://openalex.org/W2056180942","https://openalex.org/W2060171953","https://openalex.org/W2076832175","https://openalex.org/W2126105956","https://openalex.org/W2162112538","https://openalex.org/W2165171393","https://openalex.org/W2190561235","https://openalex.org/W2560308404","https://openalex.org/W2607837132","https://openalex.org/W2613706979","https://openalex.org/W2619137665","https://openalex.org/W2751738383","https://openalex.org/W2766474393","https://openalex.org/W2806883552","https://openalex.org/W2914059316"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W2130974462","https://openalex.org/W1997992934","https://openalex.org/W2028665553","https://openalex.org/W1584737477","https://openalex.org/W2994927414"],"abstract_inverted_index":{"A":[0,16],"self-adaptive":[1],"multi-objective":[2,49,67],"cross-entropy":[3,27],"method,":[4],"namely":[5],"SAMOCE,":[6,56],"is":[7,21,45,70,82],"proposed":[8,22],"to":[9,23,36,48,72,84],"optimize":[10,85],"hybrid":[11,87],"renewable":[12,88],"energy":[13,89],"systems":[14],"(HRESs).":[15],"new":[17],"adaptive":[18],"smoothing":[19],"strategy":[20,34],"improve":[24],"the":[25,41,53,80,93],"conventional":[26],"method":[28,42],"which":[29],"involves":[30],"excessive":[31],"parameters.":[32],"The":[33],"aims":[35],"remove":[37],"some":[38],"parameters":[39],"in":[40,96],"and":[43,76,91,100],"it":[44],"further":[46],"extended":[47],"problems.":[50],"To":[51],"verify":[52],"performance":[54],"of":[55],"four":[57],"benchmark":[58],"functions":[59],"are":[60],"tested.":[61],"In":[62,78],"comparison":[63,97],"with":[64,98],"other":[65],"classic":[66],"algorithms,":[68],"SAMOCE":[69,81],"shown":[71],"have":[73],"better":[74],"convergence":[75],"diversity.":[77],"addition,":[79],"used":[83],"a":[86],"system":[90],"produces":[92],"best":[94],"results":[95],"MOPSO":[99],"NSGAII.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
