{"id":"https://openalex.org/W2810207331","doi":"https://doi.org/10.1109/icpcsi.2017.8391974","title":"A real-time weather forecasting and analysis","display_name":"A real-time weather forecasting and analysis","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2810207331","doi":"https://doi.org/10.1109/icpcsi.2017.8391974","mag":"2810207331"},"language":"en","primary_location":{"id":"doi:10.1109/icpcsi.2017.8391974","doi":"https://doi.org/10.1109/icpcsi.2017.8391974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpcsi.2017.8391974","pdf_url":null,"source":{"id":"https://openalex.org/S4306498164","display_name":"IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5047819261","display_name":"Sushmitha Kothapalli","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sushmitha Kothapalli","raw_affiliation_strings":["Dept of Computer Science and Engineering, Hubballi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, Hubballi, India","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069610103","display_name":"Shashikumar G. Totad","orcid":"https://orcid.org/0000-0002-5132-8677","observed_orcids":["https://orcid.org/0000-0002-5132-8677"]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. G. Totad","raw_affiliation_strings":["Dept of Computer Science and Engineering, Hubballi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, Hubballi, India","institution_ids":["https://openalex.org/I3132975163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3132975163"],"apc_list":null,"apc_paid":null,"fwci":3.0989,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.91868289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1567","last_page":"1570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13420","display_name":"Arduino and IoT Applications","score":0.8583999872207642,"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/T13420","display_name":"Arduino and IoT Applications","score":0.8583999872207642,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.08730000257492065,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14427","display_name":"Environmental Monitoring and Data Management","score":0.014499999582767487,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"weather forecasting","score":0.8519999980926514},{"id":"https://openalex.org/keywords/temperature-prediction","display_name":"temperature prediction","score":0.8059999942779541},{"id":"https://openalex.org/keywords/humidity-prediction","display_name":"humidity prediction","score":0.996999979019165},{"id":"https://openalex.org/keywords/dht11-sensor","display_name":"DHT11 sensor","score":0.9919999837875366},{"id":"https://openalex.org/keywords/raspberry-pi","display_name":"Raspberry Pi","score":0.9980000257492065},{"id":"https://openalex.org/keywords/cloud-storage","display_name":"cloud storage","score":0.9309999942779541},{"id":"https://openalex.org/keywords/ethernet-shield","display_name":"Ethernet shield","score":0.902999997138977},{"id":"https://openalex.org/keywords/arima-model","display_name":"ARIMA model","score":0.8980000019073486},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.8989999890327454},{"id":"https://openalex.org/keywords/real-time-monitoring","display_name":"real-time monitoring","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C151420433","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Humidity","level":2,"score":0.6178616881370544},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.609140932559967},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5956804752349854},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.5828880667686462},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.5425747632980347},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5274860262870789},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5256377458572388},{"id":"https://openalex.org/C2983363897","wikidata":"https://www.wikidata.org/wiki/Q845339","display_name":"Air temperature","level":2,"score":0.522020161151886},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49335184693336487},{"id":"https://openalex.org/C206887242","wikidata":"https://www.wikidata.org/wiki/Q830457","display_name":"Cloud cover","level":3,"score":0.48976564407348633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46956920623779297},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4264478087425232},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4144227206707001},{"id":"https://openalex.org/C195452092","wikidata":"https://www.wikidata.org/wiki/Q1055865","display_name":"Overcast","level":3,"score":0.4110730290412903},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33061322569847107},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13350167870521545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07862916588783264},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpcsi.2017.8391974","doi":"https://doi.org/10.1109/icpcsi.2017.8391974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpcsi.2017.8391974","pdf_url":null,"source":{"id":"https://openalex.org/S4306498164","display_name":"IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5351999998092651,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2040916393","https://openalex.org/W2072046796","https://openalex.org/W2117082419","https://openalex.org/W2182642422","https://openalex.org/W2183595026","https://openalex.org/W2221664187","https://openalex.org/W2314515308","https://openalex.org/W4285719527","https://openalex.org/W6685934870"],"related_works":["https://openalex.org/W2943178157","https://openalex.org/W4404568079","https://openalex.org/W3024622240","https://openalex.org/W4382053325","https://openalex.org/W4248524965","https://openalex.org/W3159592953","https://openalex.org/W2942466713","https://openalex.org/W3163893062","https://openalex.org/W4211208711","https://openalex.org/W4321268789"],"abstract_inverted_index":{"Weather":[0],"forecasting":[1],"is":[2,55,84,110,121,148],"the":[3,9,17,31,42,58,70,88,92,95,102,113,130,135,152],"attempt":[4],"by":[5],"meteorologists":[6],"to":[7,91],"predict":[8],"weather":[10,18],"conditions":[11,19],"at":[12],"some":[13],"future":[14,136],"time":[15],"and":[16,36,45,60,72],"that":[20,141],"may":[21],"be":[22],"expected.":[23],"The":[24,53,81,105,126,138],"climatic":[25],"condition":[26],"parameters":[27,43,131],"are":[28,48],"based":[29],"on":[30],"temperature,":[32],"wind,":[33],"humidity,":[34],"rainfall":[35],"size":[37],"of":[38,75,97,115,129],"data":[39,54,90,103,106,147],"set.":[40],"Here,":[41],"temperature":[44,59,71],"Humidity":[46],"only":[47],"considered":[49],"for":[50,86,100,123,145,150,154],"experimental":[51],"analysis.":[52,125],"collected":[56,89],"from":[57],"humidity":[61,73],"sensor":[62],"called":[63],"DHT11":[64],"sensor,":[65],"which":[66,120],"helps":[67,132],"in":[68,108,112,133],"detecting":[69],"values":[74,153],"a":[76],"particular":[77],"region":[78],"or":[79],"location.":[80],"raspberry":[82],"pi":[83],"used":[85,122,149],"storing":[87],"cloud,":[93],"with":[94],"help":[96],"Ethernet":[98],"shield":[99],"uploading":[101],"online.":[104],"stored":[107],"cloud":[109],"generated":[111],"form":[114],"CSV,":[116],"JSON,":[117],"XML":[118],"files":[119],"further":[124],"correlation":[127],"analysis":[128],"predicting":[134,151],"values.":[137],"ARIMA":[139],"model":[140],"gives":[142],"better":[143],"results":[144],"time-series":[146],"forthcoming.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-07-10T00:00:00"}