{"id":"https://openalex.org/W4401280407","doi":"https://doi.org/10.1063/5.0205821","title":"Performance pressure control system for inlet turbine using neural network backpropagation and NARX model in the geothermal power plant 3 MW Kamojang-Indonesia","display_name":"Performance pressure control system for inlet turbine using neural network backpropagation and NARX model in the geothermal power plant 3 MW Kamojang-Indonesia","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401280407","doi":"https://doi.org/10.1063/5.0205821"},"language":"en","primary_location":{"id":"doi:10.1063/5.0205821","doi":"https://doi.org/10.1063/5.0205821","is_oa":false,"landing_page_url":"https://doi.org/10.1063/5.0205821","pdf_url":null,"source":{"id":"https://openalex.org/S2764696622","display_name":"AIP conference proceedings","issn_l":"0094-243X","issn":["0094-243X","1551-7616","1935-0465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIP Conference Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5058584122","display_name":"Junanto Prihantoro","orcid":"https://orcid.org/0000-0002-6100-4203","observed_orcids":["https://orcid.org/0000-0002-6100-4203"]},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Junanto Prihantoro","raw_affiliation_strings":["Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Banten, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Banten, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096825257","display_name":"Suyanto","orcid":"https://orcid.org/0000-0003-1713-135X","observed_orcids":["https://orcid.org/0000-0003-1713-135X"]},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Suyanto","raw_affiliation_strings":["Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Banten, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Banten, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070568396","display_name":"Erwin Nashrullah","orcid":"https://orcid.org/0000-0001-6369-3578","observed_orcids":["https://orcid.org/0000-0001-6369-3578"]},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Erwin Nashrullah","raw_affiliation_strings":["Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Banten, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Energy Conversion and Conservation, National Research and Innovation Agency, Banten, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090462444","display_name":"Heru Taufiqurrohman","orcid":"https://orcid.org/0000-0002-5118-1353","observed_orcids":["https://orcid.org/0000-0002-5118-1353"]},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Heru Taufiqurrohman","raw_affiliation_strings":["Research Center for Electronics, National Research and Innovation Agency, Banten, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Electronics, National Research and Innovation Agency, Banten, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075559701","display_name":"Mochamad Adityo Rachmadi","orcid":"https://orcid.org/0000-0002-4459-5590","observed_orcids":["https://orcid.org/0000-0002-4459-5590"]},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mochamad Adityo Rachmadi","raw_affiliation_strings":["Research Center for Electronics, National Research and Innovation Agency, Banten, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Electronics, National Research and Innovation Agency, Banten, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106260241","display_name":"Mario Ardhany","orcid":"https://orcid.org/0009-0009-4832-8105","observed_orcids":["https://orcid.org/0009-0009-4832-8105"]},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mario Ardhany","raw_affiliation_strings":["Research Center for Process and Manufacturing Industry Technology, National Research and Innovation Agency, Banten, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Process and Manufacturing Industry Technology, National Research and Innovation Agency, Banten, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759479","display_name":"Hariyanto Hariyanto","orcid":"https://orcid.org/0000-0002-7260-7819","observed_orcids":["https://orcid.org/0000-0002-7260-7819"]},"institutions":[{"id":"https://openalex.org/I2799392579","display_name":"Jakarta State Polytechnic","ror":"https://ror.org/04v8qfb10","country_code":"ID","type":"education","lineage":["https://openalex.org/I2799392579"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hariyanto","raw_affiliation_strings":["Dept. Electrical Engineering, State Polytechnic of Jakarta, Jakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Engineering, State Polytechnic of Jakarta, Jakarta, Indonesia","institution_ids":["https://openalex.org/I2799392579"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093416041","display_name":"Hatib Setiana","orcid":"https://orcid.org/0009-0008-0471-0460","observed_orcids":["https://orcid.org/0009-0008-0471-0460"]},"institutions":[{"id":"https://openalex.org/I2799392579","display_name":"Jakarta State Polytechnic","ror":"https://ror.org/04v8qfb10","country_code":"ID","type":"education","lineage":["https://openalex.org/I2799392579"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hatib Setiana","raw_affiliation_strings":["Dept. Electrical Engineering, State Polytechnic of Jakarta, Jakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Engineering, State Polytechnic of Jakarta, Jakarta, Indonesia","institution_ids":["https://openalex.org/I2799392579"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058584122"],"corresponding_institution_ids":["https://openalex.org/I4387154144"],"apc_list":null,"apc_paid":null,"fwci":0.5176,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48841767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"3069","issue":null,"first_page":"020071","last_page":"020071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.22769999504089355,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.22769999504089355,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.2215999960899353,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.18930000066757202,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/geothermal-power-plants","display_name":"geothermal power plants","score":0.9449999928474426},{"id":"https://openalex.org/keywords/pid-control","display_name":"PID control","score":0.6710000038146973},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9480000138282776},{"id":"https://openalex.org/keywords/narx-neural-network","display_name":"NARX neural network","score":0.9739999771118164},{"id":"https://openalex.org/keywords/pressure-sensors","display_name":"pressure sensors","score":0.5929999947547913},{"id":"https://openalex.org/keywords/machine-learning-control","display_name":"machine learning control","score":0.4779999852180481}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.798827052116394},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.7387268543243408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.607025682926178},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5787129998207092},{"id":"https://openalex.org/C111766609","wikidata":"https://www.wikidata.org/wiki/Q636340","display_name":"Geothermal gradient","level":2,"score":0.5346535444259644},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46366527676582336},{"id":"https://openalex.org/C2781153586","wikidata":"https://www.wikidata.org/wiki/Q7241717","display_name":"Pressure control","level":2,"score":0.4259752631187439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36434412002563477},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3609405755996704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3144194483757019},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1572386920452118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13541918992996216},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1043708324432373},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1063/5.0205821","doi":"https://doi.org/10.1063/5.0205821","is_oa":false,"landing_page_url":"https://doi.org/10.1063/5.0205821","pdf_url":null,"source":{"id":"https://openalex.org/S2764696622","display_name":"AIP conference proceedings","issn_l":"0094-243X","issn":["0094-243X","1551-7616","1935-0465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320257","host_organization_name":"American Institute of Physics","host_organization_lineage":["https://openalex.org/P4310320257"],"host_organization_lineage_names":["American Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AIP Conference Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9090999960899353},{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1695628482","https://openalex.org/W1973219769","https://openalex.org/W1988495782","https://openalex.org/W1995463892","https://openalex.org/W2036347618","https://openalex.org/W2086688658","https://openalex.org/W2086835948","https://openalex.org/W2097288650","https://openalex.org/W2105613941","https://openalex.org/W2120097553","https://openalex.org/W2166662865","https://openalex.org/W2328702662","https://openalex.org/W2966865363","https://openalex.org/W3189021122","https://openalex.org/W4214847546","https://openalex.org/W4296747893","https://openalex.org/W4296827628"],"related_works":["https://openalex.org/W1914902615","https://openalex.org/W1832153218","https://openalex.org/W3008218334","https://openalex.org/W4200442181","https://openalex.org/W3012282736","https://openalex.org/W7204953519","https://openalex.org/W2971510827","https://openalex.org/W4206894536","https://openalex.org/W2883009515","https://openalex.org/W4391669442"],"abstract_inverted_index":{"The":[0,42,59,69,81,130,141,160],"development":[1],"of":[2,132,152,158],"machine":[3],"learning-based":[4],"Artificial":[5],"Intelligent":[6],"technology":[7],"changes":[8],"automation":[9],"systems":[10],"in":[11,41,208],"various":[12],"sectors":[13],"ranging":[14],"from":[15,68,75,85,100],"the":[16,29,34,38,86,91,101,108,120,166,176,183,190,200,205,209],"automotive,":[17],"chemical,":[18],"food,":[19],"and":[20,90,119,182,194],"pharmaceutical":[21],"industries":[22],"to":[23,33,77,199],"geothermal":[24],"power":[25],"plants.":[26],"It":[27,106],"makes":[28],"authors":[30],"perform":[31],"enhancements":[32],"pressure":[35,88,145,191],"control":[36,53,146,192],"for":[37,110],"turbine":[39],"inlet":[40],"Geothermal":[43],"Power":[44],"Plant":[45],"(GPP)":[46],"3":[47,71,143],"MW":[48,72,144],"Kamojang-Indonesia":[49],"based":[50],"on":[51],"PID":[52,92],"into":[54],"a":[55,63,97,112,155],"neural":[56,113,127,138,178,185],"network":[57,114,128,139,179,186],"model.":[58,129],"data":[60,67,83],"used":[61,95],"as":[62,96],"dataset":[64],"is":[65,94,107,163],"sampling":[66],"GPP":[70,142,210],"test":[73],"results":[74,131],"04":[76],"16":[78],"August":[79],"2021.":[80],"input":[82,125],"comes":[84],"PT103":[87],"sensor,":[89],"output":[93,201],"target":[98],"derived":[99],"ZT611":[102],"feedback":[103],"valve":[104],"value.":[105],"basis":[109],"making":[111],"model":[115,133,181,187],"with":[116,123,137,154],"backpropagation":[117,177],"(BPNN)":[118],"non-linear":[121],"autoregressive":[122],"exogenous":[124],"(NARX)":[126],"testing":[134],"show":[135],"that":[136,175],"backpropagation,":[140],"system":[147,180],"shows":[148,174],"an":[149],"MSE":[150,170],"value":[151],"0.046":[153],"maximum":[156],"iteration":[157],"820.":[159],"resulting":[161],"accuracy":[162],"95.30%.":[164],"On":[165],"Neural":[167],"Network,":[168],"NARX":[169,184,195],"generated":[171,203],"0.001.":[172],"That":[173],"can":[188,196],"follow":[189],"pattern,":[193],"provide":[197],"improvements":[198],"signal":[202],"under":[204],"same":[206],"conditions":[207],"3MW":[211],"plant":[212],"system.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2024-08-03T00:00:00"}
