{"id":"https://openalex.org/W2550670001","doi":"https://doi.org/10.1109/thms.2016.2623482","title":"Accelerated Visual Context Classification on a Low-Power Smartwatch","display_name":"Accelerated Visual Context Classification on a Low-Power Smartwatch","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2550670001","doi":"https://doi.org/10.1109/thms.2016.2623482","mag":"2550670001"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2016.2623482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2016.2623482","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ieeexplore.ieee.org/document/7748493/?reload=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038717922","display_name":"Francesco Conti","orcid":"https://orcid.org/0000-0002-7924-933X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Francesco Conti","raw_affiliation_strings":["Department of Electric, University of Bologna, Bologna, Italy","Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061890705","display_name":"Daniele Palossi","orcid":"https://orcid.org/0000-0003-4487-0836"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniele Palossi","raw_affiliation_strings":["Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050957615","display_name":"Renzo Andri","orcid":"https://orcid.org/0000-0002-8776-5158"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Renzo Andri","raw_affiliation_strings":["Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066423975","display_name":"Michele Magno","orcid":"https://orcid.org/0000-0003-0368-8923"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Michele Magno","raw_affiliation_strings":["Department of Electric, University of Bologna, Bologna, Italy","Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["Department of Electric, University of Bologna, Bologna, Italy","Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5493,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95479529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980999827384949,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7608433365821838},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7023249268531799},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.6058639287948608},{"id":"https://openalex.org/keywords/power-management","display_name":"Power management","score":0.5637037754058838},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5492801070213318},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5338999032974243},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4947502017021179},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4601297080516815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39298728108406067},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3773690164089203},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3441474139690399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608433365821838},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7023249268531799},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.6058639287948608},{"id":"https://openalex.org/C2778774385","wikidata":"https://www.wikidata.org/wiki/Q4437810","display_name":"Power management","level":3,"score":0.5637037754058838},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5492801070213318},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5338999032974243},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4947502017021179},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4601297080516815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39298728108406067},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3773690164089203},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3441474139690399},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/thms.2016.2623482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2016.2623482","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},{"id":"pmh:doi:10.3929/ethz-b-000238960","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11850/124644","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:cris.unibo.it:11585/572734","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/document/7748493/?reload=true","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/238960","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/238960","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Human-Machine Systems, 47 (1)","raw_type":"info:eu-repo/semantics/acceptedVersion"},{"id":"pmh:oai:zenodo.org:3453416","is_oa":true,"landing_page_url":"https://zenodo.org/record/3453416","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.3929/ethz-b-000238960","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000238960","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:cris.unibo.it:11585/572734","is_oa":true,"landing_page_url":"http://ieeexplore.ieee.org/document/7748493/?reload=true","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1504694836","https://openalex.org/W1598995842","https://openalex.org/W1620991513","https://openalex.org/W1905460592","https://openalex.org/W1963882043","https://openalex.org/W1970825693","https://openalex.org/W1976552421","https://openalex.org/W1981173169","https://openalex.org/W1981371541","https://openalex.org/W1981474079","https://openalex.org/W1981535534","https://openalex.org/W1986847617","https://openalex.org/W1998525920","https://openalex.org/W2004834475","https://openalex.org/W2009573649","https://openalex.org/W2014406284","https://openalex.org/W2027065076","https://openalex.org/W2027535906","https://openalex.org/W2028880308","https://openalex.org/W2033951705","https://openalex.org/W2036983333","https://openalex.org/W2037416132","https://openalex.org/W2037956971","https://openalex.org/W2043774165","https://openalex.org/W2050709211","https://openalex.org/W2051167796","https://openalex.org/W2058092201","https://openalex.org/W2065173340","https://openalex.org/W2066941820","https://openalex.org/W2067964575","https://openalex.org/W2068849277","https://openalex.org/W2071799443","https://openalex.org/W2072070523","https://openalex.org/W2086711978","https://openalex.org/W2097117768","https://openalex.org/W2099913247","https://openalex.org/W2102605133","https://openalex.org/W2111619626","https://openalex.org/W2112796928","https://openalex.org/W2114173015","https://openalex.org/W2125055259","https://openalex.org/W2129508997","https://openalex.org/W2132829148","https://openalex.org/W2133346017","https://openalex.org/W2134380836","https://openalex.org/W2135450947","https://openalex.org/W2136903812","https://openalex.org/W2142827986","https://openalex.org/W2143862683","https://openalex.org/W2147419116","https://openalex.org/W2157083490","https://openalex.org/W2158622100","https://openalex.org/W2159613676","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2233304223","https://openalex.org/W2254792221","https://openalex.org/W2294653820","https://openalex.org/W2341655811","https://openalex.org/W2343308389","https://openalex.org/W2345114278","https://openalex.org/W2345823960","https://openalex.org/W2542004606","https://openalex.org/W2542099473","https://openalex.org/W4250664506","https://openalex.org/W6641147441","https://openalex.org/W6657661324","https://openalex.org/W6660125886","https://openalex.org/W6668555702","https://openalex.org/W6674914833","https://openalex.org/W6680202767","https://openalex.org/W6680350616","https://openalex.org/W6684191040","https://openalex.org/W6729059106"],"related_works":["https://openalex.org/W4285587629","https://openalex.org/W2765158217","https://openalex.org/W2993132146","https://openalex.org/W2599755607","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2756171776","https://openalex.org/W2971637278"],"abstract_inverted_index":{"Data":[0],"produced":[1],"by":[2,51],"wearable":[3,36],"sensors":[4],"is":[5],"key":[6],"in":[7,31,39,120,199],"contexts":[8],"such":[9],"as":[10],"performance":[11],"enhancement":[12],"and":[13,18,25,30,33,82],"training":[14],"help":[15],"for":[16,22,26],"sports":[17],"fitness,":[19],"continuous":[20],"monitoring":[21],"aging":[23],"people":[24],"chronic":[27],"disease":[28],"management,":[29],"gaming":[32],"entertainment.":[34],"Unfortunately,":[35],"devices":[37],"currently":[38],"the":[40,77,169,182],"market":[41],"are":[42],"either":[43],"incapable":[44],"of":[45,72,85,150,160],"complex":[46,192],"functionality":[47],"or":[48,145],"severely":[49],"impaired":[50],"short":[52],"battery":[53],"lifetime.":[54],"In":[55],"this":[56],"work,":[57],"we":[58],"present":[59],"a":[60,73,83,89,108,185],"smart":[61],"watch":[62],"platform":[63,172],"based":[64,99],"on":[65,100],"an":[66,146,158],"ultralow-power":[67],"(ULP)":[68],"heterogeneous":[69,171],"system":[70,110],"composed":[71],"TI":[74],"MSP430":[75,183],"microcontroller,":[76],"PULP":[78,93],"programmable":[79],"parallel":[80],"accelerator,":[81],"set":[84],"ULP":[86],"sensors,":[87],"including":[88],"camera.":[90],"The":[91],"embedded":[92],"accelerator":[94],"enables":[95,115],"state-of-the-art":[96],"context":[97,121],"classification":[98,122,156],"convolutional":[101],"neural":[102],"networks":[103],"to":[104,116,127,176,181,196],"be":[105,197],"applied":[106],"within":[107,184],"sub-10-mW":[109],"power":[111,187],"envelope.":[112],"Our":[113,165],"methodology":[114],"reach":[117],"high":[118],"accuracy":[119,159],"over":[123,132],"five":[124,133],"classes":[125,131],"(up":[126],"84%,":[128],"with":[129,157,179],"three":[130],"reaching":[134],"more":[135],"than":[136,152,163],"90%":[137],"accuracy),":[138],"while":[139],"consuming":[140],"2.2":[141],"mJ":[142],"per":[143,155],"classification,":[144],"ultralow":[147],"energy":[148],"consumption":[149],"less":[151],"91":[153],"\u03bcJ":[154],"64%-3.2\u00d7":[161],"better":[162],"chance.":[164],"results":[166],"suggest":[167],"that":[168],"proposed":[170],"can":[173],"provide":[174],"up":[175],"500\u00d7":[177],"speedup":[178],"respect":[180],"similar":[186],"envelope,":[188],"which":[189],"would":[190],"enable":[191],"computer":[193],"vision":[194],"algorithms":[195],"executed":[198],"highly":[200],"power-constrained":[201],"scenarios.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
