{"id":"https://openalex.org/W4392389611","doi":"https://doi.org/10.1109/isgt59692.2024.10454191","title":"Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting","display_name":"Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392389611","doi":"https://doi.org/10.1109/isgt59692.2024.10454191"},"language":"en","primary_location":{"id":"doi:10.1109/isgt59692.2024.10454191","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isgt59692.2024.10454191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)","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/A5079138298","display_name":"Kaustav Bhattacharjee","orcid":"https://orcid.org/0000-0001-7530-7865"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaustav Bhattacharjee","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,USA","Department of Data Science, New Jersey Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Data Science, New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101973210","display_name":"Soumya Kundu","orcid":"https://orcid.org/0000-0002-1575-8557"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumya Kundu","raw_affiliation_strings":["Pacific Northwest National Laboratory,Optimization and Control Group,USA","Optimization and Control Group, Pacific Northwest National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Optimization and Control Group,USA","institution_ids":["https://openalex.org/I142606810"]},{"raw_affiliation_string":"Optimization and Control Group, Pacific Northwest National Laboratory, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105268576","display_name":"Indrasis Chakraborty","orcid":"https://orcid.org/0000-0002-0132-8417"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indrasis Chakraborty","raw_affiliation_strings":["Lawrence Livermore National Laboratory,Center for Applied Scientific Computing,USA","Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory,Center for Applied Scientific Computing,USA","institution_ids":["https://openalex.org/I1282311441"]},{"raw_affiliation_string":"Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051193196","display_name":"Aritra Dasgupta","orcid":"https://orcid.org/0000-0002-5551-5103"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aritra Dasgupta","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,USA","Department of Data Science, New Jersey Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Data Science, New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"182","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7432091236114502},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.44550952315330505},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4434942603111267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4361538589000702},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42737525701522827},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.42059704661369324},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.40007027983665466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32405465841293335},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32400476932525635},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3136449456214905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1026792824268341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432091236114502},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.44550952315330505},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4434942603111267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4361538589000702},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42737525701522827},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.42059704661369324},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.40007027983665466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32405465841293335},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32400476932525635},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3136449456214905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1026792824268341},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgt59692.2024.10454191","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isgt59692.2024.10454191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337712","display_name":"Solar Energy Technologies Office","ror":"https://ror.org/033jmdj81"},{"id":"https://openalex.org/F4320338286","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W65445265","https://openalex.org/W638455340","https://openalex.org/W2039240409","https://openalex.org/W2160728349","https://openalex.org/W2513899057","https://openalex.org/W2764018574","https://openalex.org/W2964004705","https://openalex.org/W3114341490","https://openalex.org/W3184904866","https://openalex.org/W4226392856","https://openalex.org/W4247301080","https://openalex.org/W4297513950","https://openalex.org/W4377104732","https://openalex.org/W6811549198"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2923661510","https://openalex.org/W2105200106","https://openalex.org/W2751110224","https://openalex.org/W2006240110","https://openalex.org/W2771576151"],"abstract_inverted_index":{"Accurate":[0],"net":[1,98,163],"load":[2,14,99,164],"forecasting":[3,21,100,174],"is":[4,49],"vital":[5],"for":[6,34,53,111],"energy":[7],"planning,":[8],"aiding":[9],"decisions":[10],"on":[11,75],"trade":[12],"and":[13,29,68,78,106,145,162],"distribution.":[15],"However,":[16],"assessing":[17],"the":[18,42,82,108,147,157],"performance":[19,129],"of":[20,39,149],"models":[22,63,101],"across":[23,102],"diverse":[24,132],"input":[25,70,104],"variables,":[26,71],"like":[27],"temperature":[28],"humidity,":[30],"remains":[31],"challenging,":[32],"particularly":[33],"eliciting":[35],"a":[36,50,90],"high":[37],"degree":[38],"trust":[40,172],"in":[41,60,81,173],"model":[43,128],"outcomes.":[44,83],"In":[45,84],"this":[46,85,119],"context,":[47],"there":[48],"growing":[51],"need":[52],"data-driven":[54],"technological":[55],"interventions":[56],"to":[57,65,94,124,152],"aid":[58],"scientists":[59,123],"comprehending":[61],"how":[62],"react":[64],"both":[66],"noisy":[67],"clean":[69],"thus":[72],"shedding":[73],"light":[74],"complex":[76],"behaviors":[77],"fostering":[79],"confidence":[80],"paper,":[86],"we":[87],"present":[88],"Forte,":[89],"visual":[91,117],"analytics-based":[92],"application":[93],"explore":[95],"deep":[96],"probabilistic":[97],"various":[103],"variables":[105],"understand":[107],"error":[109],"rates":[110],"different":[112],"scenarios.":[113],"With":[114],"carefully":[115],"designed":[116],"interventions,":[118],"web-based":[120],"interface":[121],"empowers":[122],"derive":[125],"insights":[126,155],"about":[127],"by":[130,170],"simulating":[131],"scenarios,":[133],"facilitating":[134],"an":[135],"informed":[136],"decision-making":[137],"process.":[138],"We":[139],"discuss":[140],"observations":[141],"made":[142],"using":[143],"Forte":[144],"demonstrate":[146],"effectiveness":[148],"visualization":[150],"techniques":[151],"provide":[153],"valuable":[154],"into":[156],"correlation":[158],"between":[159],"weather":[160],"inputs":[161],"forecasts,":[165],"ultimately":[166],"advancing":[167],"grid":[168],"capabilities":[169],"improving":[171],"models.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2024-03-05T00:00:00"}
