{"id":"https://openalex.org/W4200270489","doi":"https://doi.org/10.1016/j.engappai.2021.104570","title":"Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction","display_name":"Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4200270489","doi":"https://doi.org/10.1016/j.engappai.2021.104570"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2021.104570","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2021.104570","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.06357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021114848","display_name":"Tony Salloom","orcid":"https://orcid.org/0000-0003-1072-3686"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tony Salloom","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0003-1072-3686","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066257732","display_name":"Okyay Kaynak","orcid":"https://orcid.org/0000-0002-4789-6700"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN","TR"],"is_corresponding":false,"raw_author_name":"Okyay Kaynak","raw_affiliation_strings":["Bogazici University, Istanbul, Turkey","Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-4789-6700","affiliations":[{"raw_affiliation_string":"Bogazici University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021537732","display_name":"Xinbo Yu","orcid":"https://orcid.org/0000-0003-0958-6020"},"institutions":[{"id":"https://openalex.org/I4210120302","display_name":"Shunde Polytechnic","ror":"https://ror.org/01w9d4603","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210120302"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Yu","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","Shunde Graduate School, University of Science and Technology Beijing, Fushan, Guangdong 528399, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Fushan, Guangdong 528399, China","institution_ids":["https://openalex.org/I4210120302","https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022113595","display_name":"Wei He","orcid":"https://orcid.org/0000-0002-8944-9861"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei He","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022113595"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":null,"fwci":1.8301,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85619845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"108","issue":null,"first_page":"104570","last_page":"104570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9958000183105469,"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":0.9958000183105469,"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/T10320","display_name":"Neural Networks and Applications","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8017808198928833},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.713409960269928},{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.6027299165725708},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5815050005912781},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5475437045097351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4743940830230713},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4105176329612732},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38671913743019104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3644472360610962},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.12036216259002686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11692777276039124},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.088213711977005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017808198928833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.713409960269928},{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.6027299165725708},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5815050005912781},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5475437045097351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4743940830230713},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4105176329612732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38671913743019104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3644472360610962},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.12036216259002686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11692777276039124},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.088213711977005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.engappai.2021.104570","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2021.104570","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2512.06357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.06357","pdf_url":"https://arxiv.org/pdf/2512.06357","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.06357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.06357","pdf_url":"https://arxiv.org/pdf/2512.06357","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336654","display_name":"Shunde Graduate School, University of Science and Technology Beijing","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1504199162","https://openalex.org/W1824093867","https://openalex.org/W1974853958","https://openalex.org/W2014928429","https://openalex.org/W2067688816","https://openalex.org/W2091191840","https://openalex.org/W2130858818","https://openalex.org/W2153851199","https://openalex.org/W2275865104","https://openalex.org/W2539205498","https://openalex.org/W2586095906","https://openalex.org/W2586759738","https://openalex.org/W2602685854","https://openalex.org/W2605620338","https://openalex.org/W2626754425","https://openalex.org/W2737654582","https://openalex.org/W2754084525","https://openalex.org/W2766801343","https://openalex.org/W2777897034","https://openalex.org/W2782299476","https://openalex.org/W2791294018","https://openalex.org/W2793017755","https://openalex.org/W2796072231","https://openalex.org/W2808091528","https://openalex.org/W2893564989","https://openalex.org/W2894990412","https://openalex.org/W2895395273","https://openalex.org/W2899934327","https://openalex.org/W2900048593","https://openalex.org/W2904403963","https://openalex.org/W2905528277","https://openalex.org/W2909948339","https://openalex.org/W2915795257","https://openalex.org/W2922841518","https://openalex.org/W2924132571","https://openalex.org/W2932653301","https://openalex.org/W2946296475","https://openalex.org/W2946313203","https://openalex.org/W2961950980","https://openalex.org/W2964368240","https://openalex.org/W2979339838","https://openalex.org/W2984148598","https://openalex.org/W2986815055","https://openalex.org/W2986888680","https://openalex.org/W2993598013","https://openalex.org/W3011375118","https://openalex.org/W3032943965","https://openalex.org/W3033234821","https://openalex.org/W3047794173","https://openalex.org/W3093176731","https://openalex.org/W3095704617","https://openalex.org/W3108220046","https://openalex.org/W3110781789","https://openalex.org/W3120443727","https://openalex.org/W3153964553","https://openalex.org/W3156744954","https://openalex.org/W6630040677","https://openalex.org/W6679439391","https://openalex.org/W6733595613","https://openalex.org/W6755918858","https://openalex.org/W6766356516","https://openalex.org/W6771159591","https://openalex.org/W6779185684","https://openalex.org/W6793782825"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W2002388147","https://openalex.org/W4231274751","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2119012848","https://openalex.org/W3146111732","https://openalex.org/W1990205660"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
