{"id":"https://openalex.org/W4405935708","doi":"https://doi.org/10.1109/la-cci62337.2024.10814798","title":"Profitability Prospects for Residential Photovoltaic Installations in Honduras under Foggy Conditions: A Machine Learning Approach to Photovoltaic Production Prediction using Sarima and Linear Regression","display_name":"Profitability Prospects for Residential Photovoltaic Installations in Honduras under Foggy Conditions: A Machine Learning Approach to Photovoltaic Production Prediction using Sarima and Linear Regression","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4405935708","doi":"https://doi.org/10.1109/la-cci62337.2024.10814798"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci62337.2024.10814798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci62337.2024.10814798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5115720162","display_name":"Yerlin Barahona","orcid":null},"institutions":[{"id":"https://openalex.org/I3130110478","display_name":"Universidad Tecnol\u00f3gica de Honduras","ror":"https://ror.org/00j5cb536","country_code":"HN","type":"education","lineage":["https://openalex.org/I3130110478"]}],"countries":["HN"],"is_corresponding":true,"raw_author_name":"Yerlin Barahona","raw_affiliation_strings":["Universidad Tecnológica de Honduras,Maestría en Automatización Industrial,Tegucigalpa,Honduras"],"affiliations":[{"raw_affiliation_string":"Universidad Tecnológica de Honduras,Maestría en Automatización Industrial,Tegucigalpa,Honduras","institution_ids":["https://openalex.org/I3130110478"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115720163","display_name":"Willhem Baquedano","orcid":null},"institutions":[{"id":"https://openalex.org/I3130110478","display_name":"Universidad Tecnol\u00f3gica de Honduras","ror":"https://ror.org/00j5cb536","country_code":"HN","type":"education","lineage":["https://openalex.org/I3130110478"]}],"countries":["HN"],"is_corresponding":false,"raw_author_name":"Willhem Baquedano","raw_affiliation_strings":["Universidad Tecnológica de Honduras,Maestría en Automatización Industrial,Choluteca,Honduras"],"affiliations":[{"raw_affiliation_string":"Universidad Tecnológica de Honduras,Maestría en Automatización Industrial,Choluteca,Honduras","institution_ids":["https://openalex.org/I3130110478"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104234710","display_name":"Luis Loo","orcid":"https://orcid.org/0009-0003-2375-522X"},"institutions":[{"id":"https://openalex.org/I3130110478","display_name":"Universidad Tecnol\u00f3gica de Honduras","ror":"https://ror.org/00j5cb536","country_code":"HN","type":"education","lineage":["https://openalex.org/I3130110478"]}],"countries":["HN"],"is_corresponding":false,"raw_author_name":"Luis Loo","raw_affiliation_strings":["Universidad Tecnológica de Honduras,Escuela de Postgrado,San Pedro Sula,Honduras"],"affiliations":[{"raw_affiliation_string":"Universidad Tecnológica de Honduras,Escuela de Postgrado,San Pedro Sula,Honduras","institution_ids":["https://openalex.org/I3130110478"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115720162"],"corresponding_institution_ids":["https://openalex.org/I3130110478"],"apc_list":null,"apc_paid":null,"fwci":0.2225,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56920578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.8471999764442444,"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":0.8471999764442444,"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/T10357","display_name":"Efficiency Analysis Using DEA","score":0.7843000292778015,"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"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.7178000211715698,"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/profitability-index","display_name":"Profitability index","score":0.8747609853744507},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.8490821123123169},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.6188782453536987},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5143452882766724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4430297017097473},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4412396252155304},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.37020495533943176},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.3642275035381317},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35439532995224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2782636880874634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24157848954200745},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22834044694900513},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.22541478276252747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1887640357017517},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.16441845893859863},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.09343963861465454}],"concepts":[{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.8747609853744507},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.8490821123123169},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6188782453536987},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5143452882766724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4430297017097473},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4412396252155304},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.37020495533943176},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.3642275035381317},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35439532995224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2782636880874634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24157848954200745},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22834044694900513},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.22541478276252747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1887640357017517},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.16441845893859863},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.09343963861465454},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci62337.2024.10814798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci62337.2024.10814798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3153790205"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W4363647291","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W4377094298","https://openalex.org/W31220157"],"abstract_inverted_index":{"This":[0,96],"study":[1,97],"takes":[2,43],"a":[3,11,25,90],"close":[4],"look":[5],"at":[6],"whether":[7],"solar":[8,86,107,144,165],"panels":[9,39,87,145],"are":[10,88],"good":[12,91],"investment":[13],"for":[14,157],"homes":[15],"in":[16,19,83,109,120,164],"Honduras,":[17],"especially":[18,130],"areas":[20],"with":[21],"foggy":[22],"weather.":[23],"Using":[24],"new":[26],"approach,":[27],"it":[28],"uses":[29],"Machine":[30],"Learning":[31],"(ML)":[32],"to":[33,58,93,100,105,115,162],"predict":[34,140],"how":[35,48,54,63,104,128,141],"much":[36,49,55,64,82,142],"energy":[37,50,108,143],"the":[38,77,131,153,168],"will":[40,52,146],"produce.":[41],"It":[42,125],"into":[44],"account":[45],"things":[46],"like":[47],"they":[51,56,65],"produce,":[53],"cost":[57],"install":[59],"and":[60,62,111,123,170],"maintain,":[61],"can":[66],"save":[67,94],"on":[68],"electricity":[69],"bills.":[70],"The":[71],"results":[72],"show":[73],"that":[74],"even":[75],"though":[76],"sun":[78],"doesn\u2019t":[79],"shine":[80],"as":[81,152],"some":[84],"areas,":[85],"still":[89],"way":[92],"money.":[95],"helps":[98,139],"us":[99],"understand":[101],"more":[102],"about":[103],"use":[106],"Honduras":[110],"gives":[112],"valuable":[113],"information":[114],"people":[116],"who":[117],"make":[118],"decisions":[119],"government,":[121],"business,":[122],"homes.":[124],"also":[126],"shows":[127],"ML,":[129],"SARIMA":[132],"(Seasonal":[133],"Autoregressive":[134],"Integrated":[135],"Moving":[136],"Average)":[137],"model,":[138],"produce":[147],"under":[148],"different":[149],"weather":[150],"conditions,":[151],"method":[154],"used":[155],"allows":[156],"addressing":[158],"seasonal":[159,177],"patterns":[160],"due":[161],"variations":[163],"radiation":[166],"throughout":[167],"year":[169],"is":[171],"capable":[172],"of":[173],"effectively":[174],"modeling":[175],"these":[176],"fluctuations.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}