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Volumn 32, Issue 3, 2016, Pages 1012-1016

GEFCom2014 probabilistic electric load forecasting: An integrated solution with forecast combination and residual simulation

Author keywords

Forecast combination; Load forecasting; Neural networks; Probabilistic forecasting; Regression analysis; Residual simulation; Time series modeling

Indexed keywords


EID: 84950126041     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijforecast.2015.11.005     Document Type: Article
Times cited : (83)

References (9)
  • 1
    • 84870609018 scopus 로고    scopus 로고
    • Short term electric load forecasting
    • (Ph.D. dissertaion) Graduate Program of Operation Research and Dept. of Electrical and Computer Engineering, North Carolina State University
    • Hong, T., Short term electric load forecasting. (Ph.D. dissertaion), 2010, Graduate Program of Operation Research and Dept. of Electrical and Computer Engineering, North Carolina State University.
    • (2010)
    • Hong, T.1
  • 2
    • 84979643065 scopus 로고    scopus 로고
    • Probabilistic electric load forecasting: a tutorial review
    • Hong, T., Fan, S., Probabilistic electric load forecasting: a tutorial review. International Journal of Forecasting 32 (2016), 914–938.
    • (2016) International Journal of Forecasting , vol.32 , pp. 914-938
    • Hong, T.1    Fan, S.2
  • 5
    • 84933053784 scopus 로고    scopus 로고
    • Weather station selection for electric load forecasting
    • Hong, T., Wang, P., White, L., Weather station selection for electric load forecasting. International Journal of Forecasting 31:2 (2015), 286–295.
    • (2015) International Journal of Forecasting , vol.31 , Issue.2 , pp. 286-295
    • Hong, T.1    Wang, P.2    White, L.3
  • 6
    • 82855163926 scopus 로고    scopus 로고
    • A naïve multiple linear regression benchmark for short term load forecasting. In 2011 IEEE power and energy society general meeting, Detroit, MI, July 24–29, 2011.
    • Hong, T., Wang, P., & Willis, H. (2011). A naïve multiple linear regression benchmark for short term load forecasting. In 2011 IEEE power and energy society general meeting, Detroit, MI, July 24–29, 2011.
    • (2011)
    • Hong, T.1    Wang, P.2    Willis, H.3
  • 7
    • 84892608360 scopus 로고    scopus 로고
    • Long term probabilistic load forecasting and normalization with hourly information
    • Hong, T., Wilson, J., Xie, J., Long term probabilistic load forecasting and normalization with hourly information. IEEE Transactions on Smart Grid 5:1 (2014), 456–462.
    • (2014) IEEE Transactions on Smart Grid , vol.5 , Issue.1 , pp. 456-462
    • Hong, T.1    Wilson, J.2    Xie, J.3
  • 8
    • 85027718031 scopus 로고    scopus 로고
    • On normality assumption in residual simulation for probabilistic load forecasting
    • Advance Online Publication.
    • Xie, J., Hong, T., Laing, T., Kang, C., On normality assumption in residual simulation for probabilistic load forecasting. IEEE Transactions on Smart Grid, 2015 Advance Online Publication. http://dx.doi.org/10.1109/TSG.2015.2447007.
    • (2015) IEEE Transactions on Smart Grid
    • Xie, J.1    Hong, T.2    Laing, T.3    Kang, C.4
  • 9
    • 84961832240 scopus 로고    scopus 로고
    • Combining load forecasts from independent experts. In 47th North American power symposium at Charlotte, NC, October 4–6, 2015.
    • Xie, J., Liu, B., Lyu, X., Hong, T., & Basterfield, D. (2015). Combining load forecasts from independent experts. In 47th North American power symposium at Charlotte, NC, October 4–6, 2015.
    • (2015)
    • Xie, J.1    Liu, B.2    Lyu, X.3    Hong, T.4    Basterfield, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.