{"id":"https://openalex.org/W4308575497","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939607","title":"Practical Day-Ahead Power Prediction of Solar Energy-Harvesting for IoT Systems","display_name":"Practical Day-Ahead Power Prediction of Solar Energy-Harvesting for IoT Systems","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4308575497","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939607"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc54400.2022.9939607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5024137105","display_name":"Konstantinos Falis","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Konstantinos Falis","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece","Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058086559","display_name":"Andreas Tsiougkos","orcid":"https://orcid.org/0000-0003-0791-4449"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Andreas Tsiougkos","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece","Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031542707","display_name":"Vasilis F. Pavlidis","orcid":"https://orcid.org/0000-0002-4063-4652"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasilis F. Pavlidis","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece","Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024137105"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41217548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9998999834060669,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9998999834060669,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9983000159263611,"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/T11230","display_name":"Innovative Energy Harvesting Technologies","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539821267127991},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6445578932762146},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5631750226020813},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.5218549966812134},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5196308493614197},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5044633150100708},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.5025119781494141},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.49899721145629883},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.490299254655838},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.47507303953170776},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4682924151420593},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.467615008354187},{"id":"https://openalex.org/keywords/power-management","display_name":"Power management","score":0.4592324495315552},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4441972076892853},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.44318196177482605},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4419700503349304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3730200529098511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3482917845249176},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1891476809978485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17722424864768982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539821267127991},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6445578932762146},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5631750226020813},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.5218549966812134},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5196308493614197},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5044633150100708},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.5025119781494141},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.49899721145629883},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.490299254655838},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47507303953170776},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4682924151420593},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.467615008354187},{"id":"https://openalex.org/C2778774385","wikidata":"https://www.wikidata.org/wiki/Q4437810","display_name":"Power management","level":3,"score":0.4592324495315552},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4441972076892853},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.44318196177482605},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4419700503349304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3730200529098511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3482917845249176},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1891476809978485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17722424864768982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc54400.2022.9939607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1668963720","https://openalex.org/W1989649856","https://openalex.org/W1991781995","https://openalex.org/W2005280675","https://openalex.org/W2022138116","https://openalex.org/W2037523822","https://openalex.org/W2049209435","https://openalex.org/W2086647963","https://openalex.org/W2122021409","https://openalex.org/W2344829171","https://openalex.org/W2469734051","https://openalex.org/W2470699557","https://openalex.org/W2508041822","https://openalex.org/W3006954609","https://openalex.org/W3100051862","https://openalex.org/W3144684352"],"related_works":["https://openalex.org/W4316095964","https://openalex.org/W2383001583","https://openalex.org/W3199208762","https://openalex.org/W2793870640","https://openalex.org/W2360430145","https://openalex.org/W4312443508","https://openalex.org/W2536755009","https://openalex.org/W604633266","https://openalex.org/W3141553291","https://openalex.org/W2004227547"],"abstract_inverted_index":{"Technological":[0],"advances":[1],"in":[2,67,84,91,134,144,174,198],"recent":[3],"years":[4],"have":[5,79],"led":[6],"to":[7,78,86,137],"the":[8,46,49,92,96,139,142,156,160,178,199],"widespread":[9],"use":[10],"of":[11,13,51,95,141,158,202],"Internet":[12],"Things":[14],"(IoT)":[15],"devices.":[16,53],"The":[17,73],"available":[18],"energy":[19,26,93,162,175,205],"for":[20,35,63,107],"these":[21,52],"devices,":[22],"often":[23],"powered":[24],"by":[25,42,44,177],"harvesters,":[27],"is":[28,32],"limited.":[29],"Consequently,":[30],"there":[31],"a":[33,80,88,116,121,125],"need":[34],"power":[36,47,65,168],"monitoring":[37],"and":[38,100,110,129,151],"management,":[39],"which":[40,60],"can":[41,184],"facilitated":[43],"predicting":[45,159,203],"at":[48],"input":[50],"In":[54],"this":[55,108,193],"work,":[56],"real-time":[57],"forecasting":[58,74],"models,":[59],"are":[61,71,76,105,113],"suitable":[62],"day-ahead":[64],"prediction,":[66],"battery-operated":[68],"IoT":[69,207],"devices":[70],"investigated.":[72],"models":[75,104,112,119,143],"required":[77],"low":[81],"computational":[82],"cost":[83],"order":[85],"prevent":[87],"significant":[89],"increase":[90],"consumption":[94],"device.":[97],"Both":[98],"statistical":[99],"machine":[101],"learning":[102],"(ML)":[103],"investigated":[106],"purpose,":[109],"three":[111],"implemented":[114],"on":[115],"microcontroller.":[117],"These":[118],"include":[120],"Naive":[122],"Prediction":[123],"model,":[124,128],"Moving":[126],"Average":[127],"an":[130,135],"appropriate":[131],"neural":[132,164],"network":[133],"effort":[136],"minimize":[138],"overhead":[140],"power.":[145],"Experimental":[146],"results":[147],"including":[148],"runtime,":[149],"memory":[150],"power,":[152],"indicate":[153],"that":[154],"improving":[155],"accuracy":[157],"harvested":[161],"through":[163,188],"networks":[165],"entails":[166],"considerable":[167],"requirements,":[169],"eliminating":[170],"any":[171],"additional":[172],"savings":[173],"enabled":[176],"higher":[179],"prediction":[180],"accuracy.":[181],"This":[182],"conclusion":[183],"not":[185],"be":[186],"reached":[187],"theoretical":[189],"explorations":[190],"and,":[191],"consequently,":[192],"work":[194],"offers":[195],"useful":[196],"insight":[197],"practical":[200],"implementation":[201],"solar":[204],"supplying":[206],"nodes.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}