{"id":"https://openalex.org/W4406379480","doi":"https://doi.org/10.1145/3708360.3708388","title":"Construction of Hotel Energy Consumption Prediction and Management Scheme Based on Machine Learning","display_name":"Construction of Hotel Energy Consumption Prediction and Management Scheme Based on Machine Learning","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4406379480","doi":"https://doi.org/10.1145/3708360.3708388"},"language":"en","primary_location":{"id":"doi:10.1145/3708360.3708388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708360.3708388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Mathematics and Machine Learning","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/A5115881646","display_name":"Wenting Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenting Xue","raw_affiliation_strings":["Wuhai Vocational and Technical College, Wuhai, Inner Mongolia, China"],"affiliations":[{"raw_affiliation_string":"Wuhai Vocational and Technical College, Wuhai, Inner Mongolia, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5115881646"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24155789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9526000022888184,"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":0.9526000022888184,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7879184484481812},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7505133152008057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6293473243713379},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5581853985786438},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.475831538438797},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4434836804866791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.326693594455719},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13153383135795593},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06945741176605225}],"concepts":[{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7879184484481812},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7505133152008057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6293473243713379},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5581853985786438},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.475831538438797},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4434836804866791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.326693594455719},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13153383135795593},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06945741176605225},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708360.3708388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708360.3708388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Mathematics and Machine Learning","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":8,"referenced_works":["https://openalex.org/W3003484286","https://openalex.org/W3036110098","https://openalex.org/W3046194256","https://openalex.org/W3112965332","https://openalex.org/W3134488552","https://openalex.org/W3207924781","https://openalex.org/W3210846572","https://openalex.org/W4281728823"],"related_works":["https://openalex.org/W4214628662","https://openalex.org/W4297745244","https://openalex.org/W2113644930","https://openalex.org/W2037518538","https://openalex.org/W2156822401","https://openalex.org/W1968767884","https://openalex.org/W3092380670","https://openalex.org/W2150802979","https://openalex.org/W3125847301","https://openalex.org/W2356819012"],"abstract_inverted_index":{"As":[0,113],"demand":[1],"for":[2],"energy":[3,9,12,23,77,102,110,117],"management":[4,27,111,118],"in":[5],"the":[6,22,30,38,47,63,101,105,109,116],"hotel":[7,31,106],"increases,":[8],"efficiency":[10],"and":[11,26,36,56,79,93,107,133],"consumption":[13,24,44,103],"costs":[14],"are":[15],"important":[16],"research":[17],"directions.":[18],"This":[19],"paper":[20],"introduces":[21],"prediction":[25,45],"plan":[28],"of":[29,104,128,138],"based":[32,120],"on":[33,58,121],"machine":[34,122],"learning,":[35],"adopts":[37],"hierarchical":[39],"structure":[40],"design.":[41],"The":[42,68],"power":[43],"using":[46,62],"depth":[48],"learning":[49,123],"model":[50],"such":[51],"as":[52],"LSTM,":[53],"Gru,":[54],"TCN,":[55],"so":[57],"is":[59],"optimized":[60],"by":[61],"dynamic":[64],"weight":[65],"distribution":[66],"strategy.":[67],"system":[69,119],"integrates":[70],"an":[71],"adaptive":[72],"alarm":[73],"mechanism,":[74],"provides":[75,80,134],"real-time":[76],"monitoring,":[78],"optimization":[81],"suggestions.":[82],"Experimental":[83],"results":[84],"show":[85],"that":[86],"this":[87],"method":[88],"has":[89,124],"high":[90,126],"predictive":[91],"accuracy":[92],"stability":[94],"under":[95,130],"different":[96],"loading":[97],"conditions,":[98],"effectively":[99],"reducing":[100],"improving":[108],"efficiency.":[112],"a":[114,125,135],"result,":[115],"degree":[127],"adaptability":[129],"complicated":[131],"circumstances":[132],"wide":[136],"range":[137],"applications.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}