메뉴 건너뛰기




Volumn 11, Issue 2, 2016, Pages 39-50

Extracting usage patterns from power usage data of homes' appliances in smart home using big data platform

Author keywords

Big data; Electricity usage sequence pattern; Internet of things; Smart city; Smart home

Indexed keywords

AUTOMATION; DATA HANDLING; DATA MINING; ELECTRIC POWER UTILIZATION; GREENHOUSE GASES; INTELLIGENT BUILDINGS; INTERNET OF THINGS;

EID: 84978792815     PISSN: 15541045     EISSN: 15541053     Source Type: Journal    
DOI: 10.4018/IJITWE.2016040103     Document Type: Article
Times cited : (18)

References (21)
  • 1
    • 84875637107 scopus 로고    scopus 로고
    • Data management for the internet of things: Green directions
    • IEEE
    • Ali, N. A., & Abu-Elkheir, M. (2012). Data management for the internet of things: Green directions. In Globecom Workshops (GC Wkshps). IEEE.
    • (2012) Globecom Workshops (GC Wkshps)
    • Ali, N.A.1    Abu-Elkheir, M.2
  • 2
    • 84978846518 scopus 로고    scopus 로고
    • Online
    • Anon. n. d. [Online] Available at: https://data.gov.au/dataset/smart-grid-smart-city-customer-trial-data, 2016
    • (2016)
    • Anon1
  • 7
    • 84901255576 scopus 로고    scopus 로고
    • Mining correlation patterns among appliances in smart home environment
    • Springer International Publishing
    • Chen, Y.-C., et al. (2014). Mining Correlation Patterns among Appliances in Smart Home Environment. In Advances in Knowledge Discovery and Data Mining (pp. 222-233). Springer International Publishing. doi:10.1007/978-3-319-06605-9-19
    • (2014) Advances in Knowledge Discovery and Data Mining , pp. 222-233
    • Chen, Y.-C.1
  • 10
    • 0033343493 scopus 로고    scopus 로고
    • Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses
    • Farinaccio, L., & Zmeureanu, R. (1999). Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses. Energy and Building, 30(3), 245-259. doi:10.1016/S0378-7788 (99) 00007-9
    • (1999) Energy and Building , vol.30 , Issue.3 , pp. 245-259
    • Farinaccio, L.1    Zmeureanu, R.2
  • 11
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • Han, J., Pei, J., Yin, Y., & Mao, R. (2004). Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Mining and Knowledge Discovery, 8(1), 53-87. doi:10.1023/B:DAMI.0000005258.31418.83
    • (2004) Data Mining and Knowledge Discovery , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 13
    • 84937426188 scopus 로고    scopus 로고
    • Knowledge-mining the australian smart grid smart city data: A statistical-neural approach to demand-response analysis
    • Springer International Publishing
    • Motlagh, O., Foliente, G., & Grozev, G. (2015). Knowledge-Mining the Australian Smart Grid Smart City Data: A Statistical-Neural Approach to Demand-Response Analysis. In Planning Support Systems and Smart Cities (pp. 189-207). Springer International Publishing.
    • (2015) Planning Support Systems and Smart Cities , pp. 189-207
    • Motlagh, O.1    Foliente, G.2    Grozev, G.3
  • 16
    • 84863610828 scopus 로고    scopus 로고
    • TDWI Best Practices Report, Fourth Quarter
    • Russom, P. (2011). Big data analytics. TDWI Best Practices Report, Fourth Quarter.
    • (2011) Big Data Analytics
    • Russom, P.1
  • 19
    • 84975736393 scopus 로고    scopus 로고
    • Towards a big data analytics framework for iot and smart city applications
    • Springer International Publishing
    • Strohbach, M., et al. (2015). Towards a Big Data Analytics Framework for IoT and Smart City Applications. In Modeling and Processing for Next-Generation Big-Data Technologies (pp. 257-282). Springer International Publishing. doi:10.1007/978-3-319-09177-8-11
    • (2015) Modeling and Processing for Next-Generation Big-Data Technologies , pp. 257-282
    • Strohbach, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.