{"id":"https://openalex.org/W2952467691","doi":"https://doi.org/10.1145/3307772.3330164","title":"Energy maps for Small and Medium Enterprises","display_name":"Energy maps for Small and Medium Enterprises","publication_year":2019,"publication_date":"2019-06-13","ids":{"openalex":"https://openalex.org/W2952467691","doi":"https://doi.org/10.1145/3307772.3330164","mag":"2952467691"},"language":"en","primary_location":{"id":"doi:10.1145/3307772.3330164","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307772.3330164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Future Energy Systems","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/A5006321175","display_name":"Danica Vukadinovi\u0107 Greetham","orcid":"https://orcid.org/0000-0003-3822-7908"},"institutions":[{"id":"https://openalex.org/I204136569","display_name":"The Open University","ror":"https://ror.org/05mzfcs16","country_code":"GB","type":"education","lineage":["https://openalex.org/I204136569"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Danica Vukadinovi\u0107 Greetham","raw_affiliation_strings":["Open University, UK"],"affiliations":[{"raw_affiliation_string":"Open University, UK","institution_ids":["https://openalex.org/I204136569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074717559","display_name":"Georgios Giasemidis","orcid":"https://orcid.org/0000-0002-6799-7285"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgios Giasemidis","raw_affiliation_strings":["CountingLab, Ltd., UK"],"affiliations":[{"raw_affiliation_string":"CountingLab, Ltd., UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006321175"],"corresponding_institution_ids":["https://openalex.org/I204136569"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05333252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"396","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.98089998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrence-quantification-analysis","display_name":"Recurrence quantification analysis","score":0.967832088470459},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6839433312416077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5425401926040649},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.47777020931243896},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46364039182662964},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4134822487831116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3617379069328308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.357154905796051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3526553809642792},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.35251450538635254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3280930519104004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20119529962539673},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.200883686542511},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10116970539093018}],"concepts":[{"id":"https://openalex.org/C43456602","wikidata":"https://www.wikidata.org/wiki/Q7303254","display_name":"Recurrence quantification analysis","level":3,"score":0.967832088470459},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6839433312416077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425401926040649},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.47777020931243896},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46364039182662964},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4134822487831116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3617379069328308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.357154905796051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3526553809642792},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.35251450538635254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3280930519104004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20119529962539673},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.200883686542511},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10116970539093018},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3307772.3330164","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307772.3330164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Future Energy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:oro.open.ac.uk:61432","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401187","display_name":"Open Research Online (The Open University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204136569","host_organization_name":"The Open University","host_organization_lineage":["https://openalex.org/I204136569"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2160957526","https://openalex.org/W2963240467","https://openalex.org/W3105276629"],"related_works":["https://openalex.org/W4236831073","https://openalex.org/W4385146532","https://openalex.org/W2343087986","https://openalex.org/W2069674164","https://openalex.org/W2578564774","https://openalex.org/W2170570457","https://openalex.org/W4294091146","https://openalex.org/W2043356813","https://openalex.org/W4301748200","https://openalex.org/W2963240467"],"abstract_inverted_index":{"Recurrence":[0],"Quantification":[1],"Analysis":[2],"(RQA)":[3],"is":[4,40],"becoming":[5],"a":[6,20,64],"popular":[7],"technique":[8],"to":[9,25],"analyse":[10,26],"time-series":[11],"obtained":[12,55],"from":[13,44],"complex":[14],"dynamical":[15],"systems.":[16],"In":[17],"this":[18,98],"work,":[19],"recently":[21],"presented":[22],"RQA-based":[23],"method":[24],"and":[27,37,56,89,108],"manage":[28],"energy":[29,71,104],"demand":[30],"at":[31],"low":[32],"sampling":[33],"rate":[34],"(5":[35],"min":[36],"30":[38],"min)":[39],"tested":[41],"using":[42],"datasets":[43],"three":[45],"small":[46,107],"enterprises.":[47,110],"From":[48],"recurrence":[49],"plots,":[50],"different":[51],"RQA":[52,69],"variables":[53],"are":[54,76,91],"analysed,":[57],"following":[58],"parameter":[59],"optimisation":[60],"that":[61,97],"depends":[62],"on":[63,68],"system":[65],"observed.":[66],"Based":[67],"variables,":[70],"maps":[72],"of":[73,106],"'normal'":[74],"behaviour":[75],"created.":[77],"Here,":[78],"preliminary":[79],"robustness":[80],"tests":[81],"concerning":[82],"the":[83],"training":[84],"phase":[85],"length,":[86],"missing":[87],"data":[88],"noise":[90],"presented.":[92],"Our":[93],"test":[94],"results":[95],"show":[96],"approach":[99],"has":[100],"great":[101],"potential":[102],"in":[103],"management":[105],"medium":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}