메뉴 건너뛰기




Volumn 36, Issue 5, 2009, Pages 348-356

Forecasting ocean wave energy: Tests of time-series models

Author keywords

Forecasting; Nonlinear variability; Time series models; Wave energy

Indexed keywords

ALTERNATIVE ENERGIES; DATA SETS; ENERGY FLUXES; FORECAST ERRORS; HEAVY TAILS; HYBRID MODELS; NON-LINEAR MODELS; NONLINEAR VARIABILITY; OCEAN WAVES; OCEAN-WAVE ENERGIES; PACIFIC OCEANS; RANDOM WALKS; REGRESSION MODELS; SLIDING WINDOW METHODS; SLIDING WINDOWS; TIME-SERIES MODELS; TIME-VARYING PARAMETERS; TIME-VARYING REGRESSIONS; WAVE ENERGY; WAVE HEIGHTS; WAVE PERIODS; WINDOW WIDTHS;

EID: 63449091453     PISSN: 00298018     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.oceaneng.2009.01.003     Document Type: Article
Times cited : (43)

References (45)
  • 1
    • 33750963656 scopus 로고    scopus 로고
    • Improved supply chain management based on hybrid demand forecasts
    • Aburto L., and Weber R. Improved supply chain management based on hybrid demand forecasts. Applied Soft Computing 7 (2007) 136-144
    • (2007) Applied Soft Computing , vol.7 , pp. 136-144
    • Aburto, L.1    Weber, R.2
  • 2
    • 30244493399 scopus 로고    scopus 로고
    • Long memory processes and fractional integration in econometrics
    • Baillie R.T. Long memory processes and fractional integration in econometrics. Journal of Econometrics 73 (1996) 5-59
    • (1996) Journal of Econometrics , vol.73 , pp. 5-59
    • Baillie, R.T.1
  • 7
    • 29144479773 scopus 로고    scopus 로고
    • How to forecast long-run volatility: regime-switching and the estimation of multifractal processes
    • Calvet L.E., and Fisher A.J. How to forecast long-run volatility: regime-switching and the estimation of multifractal processes. Journal of Financial Econometrics 2 (2004) 49-83
    • (2004) Journal of Financial Econometrics , vol.2 , pp. 49-83
    • Calvet, L.E.1    Fisher, A.J.2
  • 8
    • 0037409019 scopus 로고    scopus 로고
    • Prediction of breaking waves with neural networks
    • Deo M.C., and Jagdale S.S. Prediction of breaking waves with neural networks. Ocean Engineering 30 (2003) 1163-1178
    • (2003) Ocean Engineering , vol.30 , pp. 1163-1178
    • Deo, M.C.1    Jagdale, S.S.2
  • 9
    • 0344286516 scopus 로고    scopus 로고
    • Real time wave forecasting using neural networks
    • Deo M.C., and Naidu C.S. Real time wave forecasting using neural networks. Ocean Engineering 26 (1998) 191-203
    • (1998) Ocean Engineering , vol.26 , pp. 191-203
    • Deo, M.C.1    Naidu, C.S.2
  • 11
    • 46749107461 scopus 로고    scopus 로고
    • Real-time wave forecasting using genetic programming
    • Gaur S., and Deo M.C. Real-time wave forecasting using genetic programming. Ocean Engineering 35 (2008) 1166-1172
    • (2008) Ocean Engineering , vol.35 , pp. 1166-1172
    • Gaur, S.1    Deo, M.C.2
  • 12
    • 55549089651 scopus 로고    scopus 로고
    • Non-linear models: where do we go next-time varying parameter models?
    • (Article 1. 〈http://www.bepress.cxom/snde/vol12/iss3/art1〉)
    • Granger C.W.J. Non-linear models: where do we go next-time varying parameter models?. Studies in Nonlinear Dynamics and Econometrics 12 3 (2008). http://www.bepress.cxom/snde/vol12/iss3/art1 (Article 1. 〈http://www.bepress.cxom/snde/vol12/iss3/art1〉)
    • (2008) Studies in Nonlinear Dynamics and Econometrics , vol.12 , Issue.3
    • Granger, C.W.J.1
  • 15
    • 0021842777 scopus 로고
    • Computations and parameterizations of the non-linear energy transfer in a gravity wave spectrum. Part II: parameterizations of the non-linear energy transfer for application in wave models
    • Hasselmann S., Hasselmann K., Allender J.H., and Barnett T.P. Computations and parameterizations of the non-linear energy transfer in a gravity wave spectrum. Part II: parameterizations of the non-linear energy transfer for application in wave models. Journal of Physical Oceanography 15 (1985) 1378-1391
    • (1985) Journal of Physical Oceanography , vol.15 , pp. 1378-1391
    • Hasselmann, S.1    Hasselmann, K.2    Allender, J.H.3    Barnett, T.P.4
  • 17
    • 11944258430 scopus 로고    scopus 로고
    • To combine or not to combine: selecting among forecasts and their combinations
    • Hibon M., and Evgeniou T. To combine or not to combine: selecting among forecasts and their combinations. International Journal of Forecasting 21 (2005) 15-24
    • (2005) International Journal of Forecasting , vol.21 , pp. 15-24
    • Hibon, M.1    Evgeniou, T.2
  • 18
    • 32644437399 scopus 로고    scopus 로고
    • Wave height forecasting by the transfer function model
    • Ho P.C., and Yim J.Z. Wave height forecasting by the transfer function model. Ocean Engineering 33 (2006) 1230-1248
    • (2006) Ocean Engineering , vol.33 , pp. 1230-1248
    • Ho, P.C.1    Yim, J.Z.2
  • 19
    • 34748925008 scopus 로고    scopus 로고
    • Real-time wave forecasts off the western Indian coast
    • Jain P., and Deo M.C. Real-time wave forecasts off the western Indian coast. Applied Ocean Research 29 (2007) 72-79
    • (2007) Applied Ocean Research , vol.29 , pp. 72-79
    • Jain, P.1    Deo, M.C.2
  • 20
    • 0025926025 scopus 로고
    • Quasi-linear theory of wind-wave generation applied to wave forecasting
    • Janssen P. Quasi-linear theory of wind-wave generation applied to wave forecasting. Journal of Physical Oceanography 21 (1991) 1631-1642
    • (1991) Journal of Physical Oceanography , vol.21 , pp. 1631-1642
    • Janssen, P.1
  • 23
    • 46749151701 scopus 로고    scopus 로고
    • Soft computing approach for real-time estimation of missing wave heights
    • Londhe S.N. Soft computing approach for real-time estimation of missing wave heights. Ocean Engineering 35 (2008) 1080-1089
    • (2008) Ocean Engineering , vol.35 , pp. 1080-1089
    • Londhe, S.N.1
  • 25
    • 41649118014 scopus 로고    scopus 로고
    • The Markov-switching multifractal model of asset returns: GMM estimation and linear forecasting of volatility
    • Lux T. The Markov-switching multifractal model of asset returns: GMM estimation and linear forecasting of volatility. Journal of Business and Economic Statistics 26 (2008) 194-210
    • (2008) Journal of Business and Economic Statistics , vol.26 , pp. 194-210
    • Lux, T.1
  • 26
    • 1842843640 scopus 로고    scopus 로고
    • Improving wave predictions with artificial neural networks
    • Makarynskyy O. Improving wave predictions with artificial neural networks. Ocean Engineering 31 (2004) 709-724
    • (2004) Ocean Engineering , vol.31 , pp. 709-724
    • Makarynskyy, O.1
  • 27
    • 10944245372 scopus 로고    scopus 로고
    • Forecasting near-surface ocean winds with Kalman filter techniques
    • Malmberg A., Holst U., and Holst J. Forecasting near-surface ocean winds with Kalman filter techniques. Ocean Engineering 32 (2005) 273-291
    • (2005) Ocean Engineering , vol.32 , pp. 273-291
    • Malmberg, A.1    Holst, U.2    Holst, J.3
  • 28
    • 84958439298 scopus 로고
    • On the generation of surface waves by shear flows
    • Miles J.W. On the generation of surface waves by shear flows. Journal of Fluid Mechanics 3 (1957) 185-204
    • (1957) Journal of Fluid Mechanics , vol.3 , pp. 185-204
    • Miles, J.W.1
  • 29
    • 0000902316 scopus 로고    scopus 로고
    • Time series forecasting using neural networks: should the data be deseasonalized first?
    • Nelson M., Hill T., Remus W., and O'Connor M. Time series forecasting using neural networks: should the data be deseasonalized first?. Journal of Forecasting 18 (1999) 359-367
    • (1999) Journal of Forecasting , vol.18 , pp. 359-367
    • Nelson, M.1    Hill, T.2    Remus, W.3    O'Connor, M.4
  • 30
    • 84958429492 scopus 로고
    • On the generation of waves by a turbulent wind
    • Phillips O.M. On the generation of waves by a turbulent wind. Journal of Fluid Mechanics 2 (1957) 417-445
    • (1957) Journal of Fluid Mechanics , vol.2 , pp. 417-445
    • Phillips, O.M.1
  • 31
    • 84944984275 scopus 로고
    • The equilibrium range in the spectrum of wind-generated waves
    • Phillips O.M. The equilibrium range in the spectrum of wind-generated waves. Journal of Fluid Mechanics 4 (1958) 426-434
    • (1958) Journal of Fluid Mechanics , vol.4 , pp. 426-434
    • Phillips, O.M.1
  • 32
    • 0001651266 scopus 로고
    • A proposed spectral form for fully developed wind-seas based on the similarity theory of S. A. Kitaigorodskii
    • Pierson W.J., and Moskowitz L. A proposed spectral form for fully developed wind-seas based on the similarity theory of S. A. Kitaigorodskii. Journal of Geophysical Research 69 (1964) 5181-5190
    • (1964) Journal of Geophysical Research , vol.69 , pp. 5181-5190
    • Pierson, W.J.1    Moskowitz, L.2
  • 33
    • 22144474069 scopus 로고    scopus 로고
    • Forecasting wave height probabilities with numerical weather prediction models
    • Roulston M.S., Ellepola J., von Hardenberg J., and Smith L.A. Forecasting wave height probabilities with numerical weather prediction models. Ocean Engineering 32 (2005) 1841-1863
    • (2005) Ocean Engineering , vol.32 , pp. 1841-1863
    • Roulston, M.S.1    Ellepola, J.2    von Hardenberg, J.3    Smith, L.A.4
  • 34
    • 55349126757 scopus 로고    scopus 로고
    • Using temperature and state transitions to forecast wind speed
    • Reikard G. Using temperature and state transitions to forecast wind speed. Wind Energy 11 (2008) 431-443
    • (2008) Wind Energy , vol.11 , pp. 431-443
    • Reikard, G.1
  • 36
    • 0019438610 scopus 로고
    • Array measurements of atmospheric pressure fluctuations above surface gravity waves
    • Snyder R.L., Dobson F.W., Elliott J.A., and Long R.B. Array measurements of atmospheric pressure fluctuations above surface gravity waves. Journal of Fluid Mechanics 102 (1981) 1-59
    • (1981) Journal of Fluid Mechanics , vol.102 , pp. 1-59
    • Snyder, R.L.1    Dobson, F.W.2    Elliott, J.A.3    Long, R.B.4
  • 37
    • 33748560076 scopus 로고    scopus 로고
    • Probability distribution of random wave-current forces
    • Song J.B. Probability distribution of random wave-current forces. Ocean Engineering 33 (2006) 2435-2453
    • (2006) Ocean Engineering , vol.33 , pp. 2435-2453
    • Song, J.B.1
  • 40
    • 0037036332 scopus 로고    scopus 로고
    • Neural network for wave forecasting among multi-stations
    • Tsai C.P., Lin C., and Shen J.N. Neural network for wave forecasting among multi-stations. Ocean Engineering 29 (2002) 1683-1695
    • (2002) Ocean Engineering , vol.29 , pp. 1683-1695
    • Tsai, C.P.1    Lin, C.2    Shen, J.N.3
  • 41
    • 34247269814 scopus 로고    scopus 로고
    • Application of artificial neural networks in typhoon surge forecasting
    • Tseng C.M., Jan C.D., Wang J.S., and Wang C.M. Application of artificial neural networks in typhoon surge forecasting. Ocean Engineering 34 (2007) 1757-1768
    • (2007) Ocean Engineering , vol.34 , pp. 1757-1768
    • Tseng, C.M.1    Jan, C.D.2    Wang, J.S.3    Wang, C.M.4
  • 44
    • 0037243071 scopus 로고    scopus 로고
    • Time series forecasting using a hybrid ARIMA and neural network model
    • Zhang G.P. Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50 (2003) 159-175
    • (2003) Neurocomputing , vol.50 , pp. 159-175
    • Zhang, G.P.1
  • 45
    • 4344591889 scopus 로고    scopus 로고
    • Neural network forecasting for seasonal and trend time series
    • Zhang G.P., and Qi M. Neural network forecasting for seasonal and trend time series. European Journal of Operational Research 160 (2005) 501-514
    • (2005) European Journal of Operational Research , vol.160 , pp. 501-514
    • Zhang, G.P.1    Qi, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.