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Volumn 7894 LNAI, Issue PART 1, 2013, Pages 52-63

Forecasting time series with multiple seasonal cycles using neural networks with local learning

Author keywords

local learning; neural networks; seasonal time series forecasting; short term load forecasting

Indexed keywords

ELECTRICAL LOAD FORECASTING; EXPONENTIAL SMOOTHING; FORECASTING PROBLEMS; FORECASTING TIME SERIES; LOCAL LEARNING; PROBLEM COMPLEXITY; SEASONAL TIME SERIES; SHORT TERM LOAD FORECASTING;

EID: 84884371422     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38658-9_5     Document Type: Conference Paper
Times cited : (47)

References (10)
  • 1
    • 84884361464 scopus 로고    scopus 로고
    • Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing
    • Monash University
    • Taylor, J.W., Snyder, R.D.: Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing. Department of Econometrics and Business Statistics Working Paper 9/09, Monash University (2009)
    • (2009) Department of Econometrics and Business Statistics Working Paper 9/09
    • Taylor, J.W.1    Snyder, R.D.2
  • 2
    • 0043246006 scopus 로고    scopus 로고
    • Short-Term Electricity Demand Forecasting Using Double Seasonal Exponential Smoothing
    • Taylor, J.W.: Short-Term Electricity Demand Forecasting Using Double Seasonal Exponential Smoothing. Journal of the Operational Research Society 54, 799-805 (2003)
    • (2003) Journal of the Operational Research Society , vol.54 , pp. 799-805
    • Taylor, J.W.1
  • 3
    • 77956265820 scopus 로고    scopus 로고
    • Exponentially Weighted Methods for Forecasting Intraday Time Series with Multiple Seasonal Cycles
    • Taylor, J.W.: Exponentially Weighted Methods for Forecasting Intraday Time Series with Multiple Seasonal Cycles. International Journal of Forecasting 26(4), 627-646 (2010)
    • (2010) International Journal of Forecasting , vol.26 , Issue.4 , pp. 627-646
    • Taylor, J.W.1
  • 5
    • 4344591889 scopus 로고    scopus 로고
    • Neural Network Forecasting for Seasonal and Trend Time Series
    • Zhang, G.P., Qi, M.: Neural Network Forecasting for Seasonal and Trend Time Series. European Journal of Operational Research 160, 501-514 (2005)
    • (2005) European Journal of Operational Research , vol.160 , pp. 501-514
    • Zhang, G.P.1    Qi, M.2
  • 6
    • 77955379460 scopus 로고    scopus 로고
    • Similarity-based Approaches to Short-Term Load Forecasting
    • Zhu, J.J., Fung, G.P.C. (eds.)
    • Dudek, G.: Similarity-based Approaches to Short-Term Load Forecasting. In: Zhu, J.J., Fung, G.P.C. (eds.) Forecasting Models: Methods and Applications, pp. 161-178. iConcept Press (2010), http://www.iconceptpress.com/www/site/ download.paper.php?paperID=100917020141
    • (2010) Forecasting Models: Methods and Applications , pp. 161-178
    • Dudek, G.1
  • 7
  • 8
    • 84884361464 scopus 로고    scopus 로고
    • Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing
    • Monash University
    • Taylor, J.W., Snyder, R.D.: Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing. Department of Econometrics and Business Statistics Working Paper 9/09, Monash University (2009)
    • (2009) Department of Econometrics and Business Statistics Working Paper 9/09
    • Taylor, J.W.1    Snyder, R.D.2
  • 9
    • 48749112805 scopus 로고    scopus 로고
    • Automatic Time Series Forecasting: The Forecast Package for R
    • Hyndman, R.J., Khandakar, Y.: Automatic Time Series Forecasting: The Forecast Package for R. Journal of Statistical Software 27(3), 1-22 (2008)
    • (2008) Journal of Statistical Software , vol.27 , Issue.3 , pp. 1-22
    • Hyndman, R.J.1    Khandakar, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.