Short-term time series wind power predictions are extremely essential for accurate and efficient offshore energy evaluation and, in turn, benefit large farm operation maintenance (O&M). However, it is still a challenging task due to the intermittent nature of wind, which significantly increases difficulties forecasting. In this paper, novel hybrid model, using unique strengths Discrete Wavelet ...

Water conservation is very necessary to support the creation of clean water quality that free from harmful substances can disturb environment. So a system needed monitor determine level pollution occurs. This will work see in real time with several parameters such as pH, temperature, and turbidity. The purpose this research produce predictive model find out prediction results data mining-based ...

This paper works on the agricultural drought forecasting in the Guanzhong Plain of China using Autoregressive Integrated Moving Average (ARIMA) models based on the time series of drought monitoring results of Vegetation Temperature Condition Index (VTCI). About 90 VTCI images derived from Advanced Very High Resolution Radiometer (AVHRR) data were selected to develop the ARIMA models from the er...

A lot of time series analysis in economics and nance is to determine whether a unit root and/or seasonal unit root is present in the data. These tests are usually based on unit root tests orginally developed by Dickey & Fuller(1981). Testing for the presence of a seasonal root has been considered by Dickey, Hasza & Fuller (1984). Li(1991) considered tests for the existence of a seasonal and a r...

Inflation is defined as rising prices of goods in general and continuously. The effect inflation on the economy can cause currency to decline, resulting country's economic power becoming weak. Time series data arranged order time or collected over time. Changes rate tend make unstable affect forecasting process data. method used this study seasonal autoregressive integrated moving (SARIMA) pred...

Wind is a dominant source of renewable energy with high sustainability potential. However, the intermittence and unstable nature wind affect efficiency reliability conversion systems. The prediction available potential also heavily flawed by its nature. Thus, evaluating trough speed prevision, crucial for adapting production to load shifting user demand rates. This work aims forecast using stat...