Modelling river water level (WL) of a coastal catchment is much complex due to the tidal
influences on river WL. A hybrid machine learning model based on relevance vector …

Abstract Seasonal Autoregressive Integrated Moving Average (SARIMA) model was fitted for
the time series data either to better understand the data or to predict the future points in the …

Monthly rainfall forecasts can be translated into monthly runoff predictions that could support
water resources planning and management activities. Therefore, development of monthly …

Climate change is intensifying the occurrence of extreme rainfall events, drawing attention to
the importance of understanding the return period concept within the realm of extreme …

Nowadays, the LNG market is a derivative of the traditional gas market and has certain
advantages over pipeline gas supplies. Many countries, including the Russian Federation …

Investors generally aim to obtain a high return from their stock portfolio. However, investors
must realize that a high value-at-risk (VaR) is essential to calculate for this aim. One of the …

The analysis, modeling, and forecast of oil prices are among the most important studies
related to global and local economic trends. Such studies are necessary to increase …

The government continues to carry out poverty reduction strategies in Indonesia, especially
in West Java Province. West Java Province is a province that has the most populous …

A key issue for effective management and operating of dam reservoirs is predicting the water
inflow values into dam reservoir. To address this subject, here, genetic programming (GP) is …

Rainfall forecast information is important for the planning and management of water
resources and agricultural activities. Turksvygbult rainfall near the Magoebaskloof Dam …