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Volumn 1, Issue , 2010, Pages 533-536

Hybrid support vector machine and ARIMA model in building cooling prediction

Author keywords

Building cooling load forecasting; Hybrid model; SARIMA; SVR

Indexed keywords

ARIMA MODELS; ARTIFICIAL NEURAL NETWORK; AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; BUILDING COOLING LOAD; ENERGY-SAVING OPERATION; FORECASTING ACCURACY; GREY MODEL; HVAC SYSTEM; HYBRID MODEL; HYBRID PREDICTORS; HYBRID SUPPORT; IN-BUILDINGS; LINEAR PREDICTION; NONLINEAR PREDICTION; OPTIMAL CONTROLS; SARIMA; SUPPORT VECTOR REGRESSIONS; SVR;

EID: 77956095794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3CA.2010.5533864     Document Type: Conference Paper
Times cited : (21)

References (6)
  • 1
    • 0027084507 scopus 로고
    • A procedure for calculating cooling load due to solar radiation: The shading effects from adjacent or nearby buildings
    • Vildan Ok. A procedure for calculating cooling load due to solar radiation: the shading effects from adjacent or nearby buildings. Energy Build 1992, 19(1): 11-20.
    • (1992) Energy Build , vol.19 , Issue.1 , pp. 11-20
    • Vildan, O.1
  • 2
    • 4544233556 scopus 로고    scopus 로고
    • Hourly cooling load prediction by a combined forecasting model based on analytic hierarchy process
    • Yao Y, Lian ZW, Liu SQ, Hou ZJ. Hourly cooling load prediction by a combined forecasting model based on analytic hierarchy process. Int J Therm Sci 2004, 43(11):1107-18.
    • (2004) Int J Therm Sci , vol.43 , Issue.11 , pp. 1107-1118
    • Yao, Y.1    Lian, Z.W.2    Liu, S.Q.3    Hou, Z.J.4
  • 3
    • 70649095195 scopus 로고    scopus 로고
    • A novel air-conditioning load prediction based on ARIMA and BPNN model
    • July, Shenzhen, China
    • Li Xuemei, Ding Lixing, et al. A Novel Air-conditioning Load Prediction Based on ARIMA and BPNN Model, Proc. of Asia- Pacific Conference on Information Processing, July, 2009, Shenzhen, China, pp51-54.
    • (2009) Proc. of Asia- Pacific Conference on Information Processing , pp. 51-54
    • Li, X.1    Ding, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.