{"id":"https://openalex.org/W7130331571","doi":"https://doi.org/10.1109/tencon66050.2025.11375243","title":"Data-Driven Optimization of Wind-Solar Tower Performance a Machine Learning Approach to Thermal Updraft Prediction","display_name":"Data-Driven Optimization of Wind-Solar Tower Performance a Machine Learning Approach to Thermal Updraft Prediction","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7130331571","doi":"https://doi.org/10.1109/tencon66050.2025.11375243"},"language":null,"primary_location":{"id":"doi:10.1109/tencon66050.2025.11375243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5126322205","display_name":"Md. Minhajul Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Minhajul Islam","raw_affiliation_strings":["American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119386918","display_name":"Ahmed Intekhab Rohan","orcid":"https://orcid.org/0009-0004-1107-9225"},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ahmed Intekhab Rohan","raw_affiliation_strings":["Islamic University of Technology,Dept. of Mechanical and Production Engineering,Gazipur,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Islamic University of Technology,Dept. of Mechanical and Production Engineering,Gazipur,Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126311520","display_name":"Hasanur Zaman Anonto","orcid":null},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Hasanur Zaman Anonto","raw_affiliation_strings":["American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126280642","display_name":"Md Ismail Hossain","orcid":null},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Ismail Hossain","raw_affiliation_strings":["American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095883210","display_name":"Md Mukter Hossain Emon","orcid":"https://orcid.org/0009-0002-9363-6798"},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Mukter Hossain Emon","raw_affiliation_strings":["Lamar University,Dept. of Electrical and Computer Engineering,Texas,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lamar University,Dept. of Electrical and Computer Engineering,Texas,USA","institution_ids":["https://openalex.org/I177898655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126348249","display_name":"Md Akteruzzaman","orcid":null},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Akteruzzaman","raw_affiliation_strings":["Lamar University,Dept. of Electrical and Computer Engineering,Texas,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lamar University,Dept. of Electrical and Computer Engineering,Texas,USA","institution_ids":["https://openalex.org/I177898655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126292620","display_name":"Abu Shufian","orcid":null},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abu Shufian","raw_affiliation_strings":["American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American International Unviversity-Bangladesh,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126285001","display_name":"Md Siddikur Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Md Siddikur Rahman","raw_affiliation_strings":["Universiti Teknologi Petronas,Dept. of Electrical and Electronic Engineering,Perak,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi Petronas,Dept. of Electrical and Electronic Engineering,Perak,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77169331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1375","last_page":"1379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13298","display_name":"Solar Energy Systems and Technologies","score":0.8464000225067139,"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"}},"topics":[{"id":"https://openalex.org/T13298","display_name":"Solar Energy Systems and Technologies","score":0.8464000225067139,"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"}},{"id":"https://openalex.org/T11371","display_name":"Wind and Air Flow Studies","score":0.11890000104904175,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.008999999612569809,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.6302000284194946},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5992000102996826},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"Solar irradiance","score":0.5874000191688538},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.5830000042915344},{"id":"https://openalex.org/keywords/irradiance","display_name":"Irradiance","score":0.5824999809265137},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.5685999989509583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5037000179290771},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4641999900341034},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.6302000284194946},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5992000102996826},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.5874000191688538},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.5830000042915344},{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.5824999809265137},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47200000286102295},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.460999995470047},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C2777831296","wikidata":"https://www.wikidata.org/wiki/Q12518","display_name":"Tower","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37689998745918274},{"id":"https://openalex.org/C107861326","wikidata":"https://www.wikidata.org/wiki/Q209233","display_name":"Thermal energy","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.3488999903202057},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3314000070095062},{"id":"https://openalex.org/C2039551","wikidata":"https://www.wikidata.org/wiki/Q200297","display_name":"Thermal power station","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon66050.2025.11375243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.876872181892395}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2174567634","https://openalex.org/W2556506585","https://openalex.org/W3000351692","https://openalex.org/W3157753509","https://openalex.org/W4212834236","https://openalex.org/W4400601680","https://openalex.org/W4408326724","https://openalex.org/W4409370808","https://openalex.org/W4409641621","https://openalex.org/W4411438182","https://openalex.org/W4411902333","https://openalex.org/W4412987563"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3],"examining":[4],"how":[5],"machine-learning":[6,81],"can":[7],"be":[8,175],"applied":[9],"to":[10,19,31,36,52,58,95,130,142,177,189],"achieve":[11],"optimal":[12],"wind-solar":[13,47],"hybrid":[14,180],"towers":[15,24,48],"performance":[16],"in":[17,120],"relation":[18],"predicting":[20],"thermal":[21,55,100,168],"updraft.":[22,101],"Wind-solar":[23],"use":[25],"solar":[26,63,158,198],"irradiance":[27,159],"and":[28,67,79,90,118,132,160,184],"wind":[29,68,161],"speed":[30,162],"generate":[32],"energy":[33,182,185],"but":[34],"due":[35,57],"the":[37,43,54,59,62,108,134,139,146,164,179],"complex":[38],"nature":[39],"of":[40,99,138,145,167],"interaction":[41,60],"between":[42,61],"various":[44,80],"environment":[45],"variables,":[46],"are":[49,93,163],"relatively":[50],"hard":[51],"predict":[53],"updraft":[56,147,169],"irradiance,":[64],"air":[65],"temperature,":[66],"velocity.":[69],"A":[70],"complete":[71],"dataset":[72],"that":[73,105,157,173],"covers":[74],"90":[75],"days":[76,195],"is":[77],"used,":[78],"models,":[82,110],"such":[83],"as":[84],"linear":[85,111],"regression,":[86],"support":[87],"vector":[88],"machines,":[89],"neural":[91],"networks,":[92],"tested":[94],"make":[96,143],"a":[97,114,126],"prediction":[98],"The":[102,122],"findings":[103],"show":[104],"among":[106],"all":[107],"alternative":[109],"regression":[112,140],"had":[113,155],"much":[115],"superior":[116],"predictability":[117],"efficiency":[119],"computation.":[121],"obtained":[123],"result":[124],"showed":[125],"close-toperfect":[127],"fit,$\\mathrm{R}^{2}$being":[128],"equal":[129],"0.98":[131],"indicating":[133],"extremely":[135],"high":[136],"ability":[137],"model":[141],"predictions":[144],"velocity":[148],"under":[149],"heterogeneous":[150],"environmental":[151],"conditions.":[152],"Sensitivity":[153],"analysis":[154],"demonstrated":[156],"best":[165],"predictors":[166],"thereby":[170],"offering":[171],"insights":[172],"would":[174],"adopted":[176],"streamline":[178],"renewable":[181],"system,":[183],"forecasting":[186],"with":[187,196],"potential":[188],"boost":[190],"power":[191],"generation":[192],"especially":[193],"during":[194],"low":[197],"irradiance.":[199]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-19T00:00:00"}
