In general, studies on short-term hourly electricity load modeling and forecasting do not investigate in detail the sources of uncertainty forecasting. This study aims to evaluate impact benefits applying bootstrap aggregation overcoming time series forecasting, thereby increasing accuracy multistep ahead point forecasts. We implemented existing proposed clustering-based bootstrapping methods g...

Changes in extreme rainfall can cause disasters or losses for the wider community, so information about future is also needed. Rainfall included category of time series data. One methods that be used Autoregressive Integrated Moving Average (ARIMA) Seasonal ARIMA (SARIMA). However, this model only involves one variable without involving its dependence on other variables. factors affect wind spe...

The necessity for transportation research has been prompted by the exponential rise in vehicle use, research in the field has expanded and diversified accordingly. Despite substantial work having been carried out in Macroscopic modelling, the theory is far from complete [1]. The paper presents a hybrid model which combines the strengths of macroscopic models; the continuum method with forecasti...

Padang city has been in the red zone (high risk) and orange (medium against transmission of Covid-19 virus for several months. This is due to lack community discipline complying with health protocols. The existence Andalas University Hospital Laboratory City which tools issue SWAB test results also data being obtained very quickly collection more accurate. To predict number new cases patients, ...