{"id":"https://openalex.org/W4391987254","doi":"https://doi.org/10.1007/978-3-031-50580-5_30","title":"Predicting NOx Emission in Thermal Power Plants Based on Bidirectional Long and Short Term Memory Network","display_name":"Predicting NOx Emission in Thermal Power Plants Based on Bidirectional Long and Short Term Memory Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391987254","doi":"https://doi.org/10.1007/978-3-031-50580-5_30"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-50580-5_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-50580-5_30","pdf_url":null,"source":{"id":"https://openalex.org/S4393917809","display_name":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","issn_l":"1867-8211","issn":["1867-8211","1867-822X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","raw_type":"book-chapter"},"type":"book-chapter","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/A5023607243","display_name":"Xiaoqiang Wen","orcid":"https://orcid.org/0000-0001-9897-4994"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Wen","raw_affiliation_strings":["Department of Automation, Northeast Electric Power University, Jilin, 132012, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Northeast Electric Power University, Jilin, 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085824975","display_name":"Kaichuang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaichuang Li","raw_affiliation_strings":["Department of Automation, Northeast Electric Power University, Jilin, 132012, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Northeast Electric Power University, Jilin, 132012, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023607243"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05566854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.944100022315979,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.944100022315979,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nox","display_name":"NOx","score":0.8183927536010742},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7127494812011719},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4949471354484558},{"id":"https://openalex.org/keywords/thermal-power-station","display_name":"Thermal power station","score":0.45480626821517944},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4244644045829773},{"id":"https://openalex.org/keywords/thermal-emission","display_name":"Thermal emission","score":0.42163926362991333},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.3948898911476135},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.24050238728523254},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17422962188720703},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1687050759792328},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15368691086769104},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1441623568534851},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.08999550342559814},{"id":"https://openalex.org/keywords/combustion","display_name":"Combustion","score":0.03973636031150818}],"concepts":[{"id":"https://openalex.org/C203032635","wikidata":"https://www.wikidata.org/wiki/Q20962970","display_name":"NOx","level":3,"score":0.8183927536010742},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7127494812011719},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4949471354484558},{"id":"https://openalex.org/C2039551","wikidata":"https://www.wikidata.org/wiki/Q200297","display_name":"Thermal power station","level":2,"score":0.45480626821517944},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4244644045829773},{"id":"https://openalex.org/C2987154437","wikidata":"https://www.wikidata.org/wiki/Q192593","display_name":"Thermal emission","level":3,"score":0.42163926362991333},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.3948898911476135},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.24050238728523254},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17422962188720703},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1687050759792328},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15368691086769104},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1441623568534851},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.08999550342559814},{"id":"https://openalex.org/C105923489","wikidata":"https://www.wikidata.org/wiki/Q133235","display_name":"Combustion","level":2,"score":0.03973636031150818},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-50580-5_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-50580-5_30","pdf_url":null,"source":{"id":"https://openalex.org/S4393917809","display_name":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","issn_l":"1867-8211","issn":["1867-8211","1867-822X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"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":20,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W1989931811","https://openalex.org/W2054432778","https://openalex.org/W2095089989","https://openalex.org/W2339941919","https://openalex.org/W2613705088","https://openalex.org/W2756735023","https://openalex.org/W2774250969","https://openalex.org/W2777304924","https://openalex.org/W2782538413","https://openalex.org/W2796146270","https://openalex.org/W2802179116","https://openalex.org/W2912740037","https://openalex.org/W2925872868","https://openalex.org/W2963355447","https://openalex.org/W2974000087","https://openalex.org/W2978619944","https://openalex.org/W2986602512","https://openalex.org/W2991232089","https://openalex.org/W3000766071"],"related_works":["https://openalex.org/W2526955845","https://openalex.org/W2333625237","https://openalex.org/W3172737693","https://openalex.org/W2325300485","https://openalex.org/W2080249173","https://openalex.org/W2066601377","https://openalex.org/W4385365348","https://openalex.org/W4321277108","https://openalex.org/W2064300379","https://openalex.org/W3036968326"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
