{"id":"https://openalex.org/W7134940984","doi":"https://doi.org/10.1109/icdmw69685.2025.00264","title":"Geospatial Data Mining for Turbine Layout and Energy Forecasting in Offshore Wind Farms","display_name":"Geospatial Data Mining for Turbine Layout and Energy Forecasting in Offshore Wind Farms","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7134940984","doi":"https://doi.org/10.1109/icdmw69685.2025.00264"},"language":null,"primary_location":{"id":"doi:10.1109/icdmw69685.2025.00264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5082244578","display_name":"Cristian Monsalve","orcid":null},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cristian C. Noriega Monsalve","raw_affiliation_strings":["Montclair State University (MSU),NJ,USA"],"affiliations":[{"raw_affiliation_string":"Montclair State University (MSU),NJ,USA","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090253347","display_name":"Aparna S. Varde","orcid":"https://orcid.org/0000-0002-3170-2510"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aparna S. Varde","raw_affiliation_strings":["Montclair State University (MSU),NJ,USA"],"affiliations":[{"raw_affiliation_string":"Montclair State University (MSU),NJ,USA","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039219305","display_name":"Stefan A. Robila","orcid":"https://orcid.org/0000-0001-6464-1446"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan A. Robila","raw_affiliation_strings":["Montclair State University (MSU),NJ,USA"],"affiliations":[{"raw_affiliation_string":"Montclair State University (MSU),NJ,USA","institution_ids":["https://openalex.org/I166088655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082244578"],"corresponding_institution_ids":["https://openalex.org/I166088655"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91130677,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2170","last_page":"2178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.1988999992609024,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10680","display_name":"Wind Energy Research and Development","score":0.1988999992609024,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.11879999935626984,"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/T12503","display_name":"Social Acceptance of Renewable Energy","score":0.07859999686479568,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6779000163078308},{"id":"https://openalex.org/keywords/submarine-pipeline","display_name":"Submarine pipeline","score":0.499099999666214},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.48750001192092896},{"id":"https://openalex.org/keywords/offshore-wind-power","display_name":"Offshore wind power","score":0.44119998812675476},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4153999984264374},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.3449999988079071}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6779000163078308},{"id":"https://openalex.org/C162284963","wikidata":"https://www.wikidata.org/wiki/Q17106102","display_name":"Submarine pipeline","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C8735168","wikidata":"https://www.wikidata.org/wiki/Q61637704","display_name":"Offshore wind power","level":3,"score":0.44119998812675476},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4404999911785126},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3407999873161316},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.3345000147819519},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3140999972820282},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29679998755455017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29490000009536743},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25440001487731934},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw69685.2025.00264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw69685.2025.00264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7675553560256958,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1176555913","https://openalex.org/W1619743276","https://openalex.org/W1786705683","https://openalex.org/W1980779696","https://openalex.org/W2094360238","https://openalex.org/W2146640482","https://openalex.org/W2155235598","https://openalex.org/W2787593833","https://openalex.org/W2799076212","https://openalex.org/W2901312569","https://openalex.org/W2977033659","https://openalex.org/W2981646906","https://openalex.org/W3137310492","https://openalex.org/W3209224950","https://openalex.org/W4206444801","https://openalex.org/W4241430206","https://openalex.org/W4285187856","https://openalex.org/W4310494058","https://openalex.org/W4389540100","https://openalex.org/W4391053798","https://openalex.org/W4391169431","https://openalex.org/W4392033913","https://openalex.org/W4406495575","https://openalex.org/W4408396746"],"related_works":[],"abstract_inverted_index":{"This":[0,189,220],"research":[1,81],"leverages":[2],"geospatial":[3,73,127,190],"data":[4,75,95,109,224,249],"mining":[5,225,250],"to":[6,125,134,157,186,205,208],"support":[7],"decision-making":[8],"in":[9,216,251],"the":[10,103,111,136,206,245],"realm":[11],"of":[12,53,62,201,247],"renewable":[13],"energy,":[14],"more":[15],"specifically":[16],"offshore":[17,217,227],"wind":[18,24,28,37,42,66,74,84,99,128,139,218,228,234],"energy":[19,91,142,160,214,239],"farms.":[20,219],"It":[21],"focuses":[22],"on":[23,197],"pattern":[25],"recognition":[26],"via":[27],"vectors":[29,85],"(speed":[30],"and":[31,44,51,68,76,86,141,152,191,212,238],"direction":[32,45],"at":[33,167],"a":[34,48,54,149,153],"given":[35],"time),":[36],"roses":[38],"(circular":[39],"plots":[40],"display":[41],"speed":[43,67],"distributions":[46],"over":[47,176],"time":[49],"period)":[50],"analysis":[52,193],"phenomenon":[55],"called":[56],"wake":[57,210],"effect":[58],"(where":[59],"relative":[60,199],"positions":[61],"turbines":[63,202],"can":[64],"decrease":[65],"increase":[69],"turbulence":[70],"downwind).":[71],"Using":[72],"real":[77],"turbine":[78,87,187,236],"observations,":[79],"this":[80,242],"explores":[82],"how":[83],"layout":[88,237],"impact":[89],"total":[90],"output.":[92,161],"Sentinel-1":[93],"satellite":[94],"offer":[96],"high":[97,116],"spatial":[98,248],"vector":[100],"resolution":[101],"along":[102],"northeastern":[104],"U.S.":[105],"coast,":[106],"while":[107,130],"operational":[108],"from":[110,182],"Jersey-Atlantic":[112],"Wind":[113],"Farm":[114],"deliver":[115],"temporal":[117,192],"power":[118,246],"output":[119,143],"resolution.":[120],"K-means":[121],"clustering":[122],"is":[123,132],"deployed":[124],"uncover":[126],"patterns,":[129],"PCA":[131],"used":[133,156],"interpret":[135],"relationships":[137],"between":[138],"features":[140],"trends.":[144],"Supervised":[145],"learning":[146],"models,":[147],"including":[148],"feedforward":[150],"ANN":[151],"CNN,":[154],"are":[155,180],"predict":[158],"turbine-level":[159],"The":[162],"CNN":[163],"outperforms":[164],"other":[165],"models":[166],"capturing":[168],"spatiotemporal":[169,223],"relationships,":[170],"achieving":[171],"<tex":[172],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[173],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathrm{R}^{2}$</tex>":[174],"scores":[175],"0.93.":[177],"Wake":[178],"effects":[179,211],"inferred":[181],"prediction":[183],"discrepancies":[184],"related":[185],"positioning.":[188],"offers":[194],"domain-specific":[195,252],"guidance":[196],"enhancing":[198],"positioning":[200],"with":[203,230],"respect":[204],"wind,":[207],"reduce":[209],"maximize":[213],"generation":[215],"work":[221],"exemplifies":[222],"empowering":[226],"development":[229],"data-driven":[231],"tools":[232],"for":[233],"farm":[235],"forecasting.":[240],"Lastly,":[241],"study":[243],"highlights":[244],"decision":[253],"support.":[254]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-03-12T00:00:00"}
