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Volumn 213, Issue , 2015, Pages 189-207

Knowledge-mining the Australian smart grid smart city data: A statistical-neural approach to demand-response analysis

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; COMPLEX NETWORKS; DATA MINING; PRINCIPAL COMPONENT ANALYSIS; SMART POWER GRIDS; SURVEYS; URBAN PLANNING;

EID: 84937426188     PISSN: 18632351     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-18368-8_10     Document Type: Conference Paper
Times cited : (21)

References (12)
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    • AEFI: Arup, Energeia, Frontier Economics, Institute for Sustainable Future. (2014). Smart Grid Smart City: shaping Australia’s energy future, executive report
    • AEFI: Arup, Energeia, Frontier Economics, Institute for Sustainable Future. (2014). Smart Grid Smart City: shaping Australia’s energy future, executive report.
  • 2
    • 84937483771 scopus 로고    scopus 로고
    • AEMO: Australian Energy Market Operator. (2014). Aggregated price and demand data files, Accessed 20 July
    • AEMO: Australian Energy Market Operator. (2014). Aggregated price and demand data files. http://www.aemo.com.au/Electricity/Data/Price-and-Demand/Aggregated-Price-and-Demand-Data-Files/. Accessed 20 July 2014.
    • (2014)
  • 4
    • 84937483772 scopus 로고    scopus 로고
    • Ausgrid. (2014). SGSC information clearing house., Accessed online 22November
    • Ausgrid. (2014). SGSC information clearing house. https://ich.smartgridsmartcity.com.au/Main. Accessed online 22 November 2014.
    • (2014)
  • 5
    • 84907420279 scopus 로고    scopus 로고
    • Optimization models and methods for demand-side management of residential users: A survey
    • Barbato, A., & Capone, A. (2014). Optimization models and methods for demand-side management of residential users: A survey. Energies, 7(9), 5787–5824.
    • (2014) Energies , vol.7 , Issue.9 , pp. 5787-5824
    • Barbato, A.1    Capone, A.2
  • 6
    • 77953049514 scopus 로고    scopus 로고
    • The smart electricity grid and scientific research
    • Beyea, J. (2010). The smart electricity grid and scientific research. Science, 328, 979–980.
    • (2010) Science , vol.328 , pp. 979-980
    • Beyea, J.1
  • 7
    • 84937483773 scopus 로고    scopus 로고
    • Frontier Economics. (2014). Smart grid smart city customer applications trials: Data analysis methodology report, Accessed 10 July
    • Frontier Economics. (2014). Smart grid smart city customer applications trials: Data analysis methodology report. https://ich.smartgridsmartcity.com.au/Main. Accessed 10 July 2014.
    • (2014)
  • 8
    • 84884908031 scopus 로고    scopus 로고
    • Smart grid as advanced technology enabler of demand response
    • Gellings, C. W., & Samotyj, M. (2013). Smart grid as advanced technology enabler of demand response. Energy Efficiency, 6(4), 685–694.
    • (2013) Energy Efficiency , vol.6 , Issue.4 , pp. 685-694
    • Gellings, C.W.1    Samotyj, M.2
  • 9
    • 84937483774 scopus 로고    scopus 로고
    • ISF & UTS: Institute for Sustainable Future, University of Technology Sydney. (2014). Smart grid, smart city: Customer research report, Accessed 26 July
    • ISF & UTS: Institute for Sustainable Future, University of Technology Sydney. (2014). Smart grid, smart city: Customer research report. https://ich.smartgridsmartcity.com.au/Main.Accessed 26 July 2014.
    • (2014)
  • 10
    • 84984778609 scopus 로고    scopus 로고
    • Upgrading the grid
    • Marris, E. (2008). Upgrading the grid. Nature, 454, 570–573.
    • (2008) Nature , vol.454 , pp. 570-573
    • Marris, E.1
  • 11
    • 84890880004 scopus 로고    scopus 로고
    • Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load
    • Paevere, P., Higgins, A., Ren, Z., Horn, M., Grozev, G., & McNamara, C. (2014). Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load. Sustainability Science, 9(1), 61–76.
    • (2014) Sustainability Science , vol.9 , Issue.1 , pp. 61-76
    • Paevere, P.1    Higgins, A.2    Ren, Z.3    Horn, M.4    Grozev, G.5    McNamara, C.6
  • 12
    • 84876126573 scopus 로고    scopus 로고
    • A review of electric load classification in smart grid environment
    • Zhou, K. L., Yang, S. L., & Shen, C. (2013). A review of electric load classification in smart grid environment. Renewable and Sustainable Energy Reviews, 24, 103–110.
    • (2013) Renewable and Sustainable Energy Reviews , vol.24 , pp. 103-110
    • Zhou, K.L.1    Yang, S.L.2    Shen, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.