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- W2960236253 abstract "It is very important to understand the metocean (meteorological and oceanographic) datasince it is a fundamental in order to success in all marine projects as this informationwill provide the characteristics of the available resource for energy yield, the designrequirements for survivalibility of the project and the strategy for maintenance andaccessibility. So, in order to avoid bad events on the sea and to help with proceeding insitu operations, it will be very beneficial to perform the analysis of the time seriesmodeled and obtain the forecasts of the metocean data from the time histories recordwhich is consists of wind and wave parameters. The method that will be applied duringthe analysis and forecasting the measured metocean data is Autoregressive, Integrated,Moving Average (ARIMA) method." @default.
- W2960236253 created "2019-07-23" @default.
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- W2960236253 date "2011-09-01" @default.
- W2960236253 modified "2023-09-24" @default.
- W2960236253 title "Time Series Modeling of Measured Wind & Wave Time Histories in Malay, Sabah& Sarawak Basin Using Autoregressive, Integrated, Moving Average (ARIMA)Method" @default.
- W2960236253 hasPublicationYear "2011" @default.
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