The phrase "area of forecasting" is correct and usable in written English.
It can be used when discussing a specific field or domain related to predicting future events or trends, often in contexts like business, economics, or meteorology.
Example: "The area of forecasting has seen significant advancements with the integration of machine learning techniques."
Alternatives: "field of prediction" or "domain of forecasting".
"The largest area of forecast non-OPEC growth will be North America, where production increases by 360,000 barrels a day and 190,000 barrels a day in 2012 and 2013, respectively, resulting from continued production growth from U.S. onshore shale formations and Canadian oil sands," it said.
The hurricane crossed into the area of forecast responsibility of the Central Pacific Hurricane Center on July 24, and upon doing so, its eye disappeared from satellite imagery.
They have not found a home, however, in one of the highest profile and most contentious areas of forecasting: climate modeling.
Our review has found that significant research gap exists in the application of AHP in the areas of forecasting, layout of facilities and managing stocks.
Therefore, in relation to season timescales, one of the most difficult areas of forecasting, the perennial question as to whether it will be cold or warm in a given region has been a major challenge (Palmer and Hagedorn 2006).
This paper therefore focuses on the recent advances in the area of probabilistic forecasting of solar power (PSPF) and load forecasting (PLF).
The goal of the combined sampling technique is to improve the forecasting accuracy of the topic forecasting model's performance on scholarly journals conferences (there has been significant progress in the area of topic forecasting in time-sensitive domains such as twitter but very few works exist in scientific publications [10]).
The false alarm rate, or FAR, divides the area of the forecast which does not overlap the observed field by the size of the forecasted area.
Therefore, the area of electricity load forecasting is still essential need for more accurate and stable load forecast algorithm.
