Sentence examples for error forecasts from inspiring English sources

Error forecasts of intermittent generation of renewable energy sources (RES) along with the current inelastic behavior of the consumption can provoke considerable network operational issues, such as frequency fluctuations and voltage imbalances.

The designed approach is to modify the original forecasts by error forecasting model, which is trained and adjusted in the historical dataset.

An iterative error modification approach is designed in this paper to yield the potential benefits of statistical models, including a set of error forecasting models.

Alternative criteria are given in this paper by using a probabilistic framework where the reserve requirements are computed based on scenarios of wind power forecast error, load forecast errors and power plant outages.

We have, however, devised a new approach to forecasting evaluation, a predictive error-forecasting model which compares and evaluates forecasting methods based on their factor levels when faced with intermittent demand.

Here, we analyze the forecasting error of different forecasting methods based on ARIMA model.

The simulation also confirms the especial modification effect of our approach for large forecasting errors, which may help reduce the phase error for forecasting systems.

A new Cambridge University study* shows that forecasting the medium to long term can be just as prone to error as forecasting the short term.

The Dec. 26th error in forecasting is the most spectacular ever made by an American weather bureau, Mr. Osmun thinks.

The overall NRMSE (Normalized Root Mean Square Error) of forecasting results for 66 days is 21.09 %.

Figure 4 describes the CCF values between the 1-h-ahead forecast error series and the forecast error series from 2-h-ahead to 48-h-ahead.