Time Series Modeling of Measured Wind & Wave Time Histories in Malay, Sabah & Sarawak Basin Using Autoregressive, Integrated, Moving Average (ARIMA) Method

It is very important to understand the metocean (meteorological and oceanographic) data
since it is a fundamental in order to success in all marine projects as this information
will provide the characteristics of the available resource for energy yield, the design
requirements for survivalibility of the project and the strategy for maintenance and
accessibility. So, in order to avoid bad events on the sea and to help with proceeding in
situ operations, it will be very beneficial to perform the analysis of the time series
modeled and obtain the forecasts of the metocean data from the time histories record
which is consists of wind and wave parameters. The method that will be applied during
the analysis and forecasting the measured metocean data is Autoregressive, Integrated,
Moving Average (ARIMA) method.