Results 91 to 100 of about 453,955 (199)
COVID-19 infected cases in Canada: Short-term forecasting models. [PDF]
Bata MH +4 more
europepmc +1 more source
Forecasting Industrial Production in the Euro Area [PDF]
The creation of the Euro area has increased the importance of obtaining timely information about short-term changes in the area's real activity. In this paper we propose a number of alternative short-term forecasting models, ranging from simple ARIMA ...
Giorgio Bodo +2 more
core
Retraction Note: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM. [PDF]
Rauf HT +4 more
europepmc +1 more source
Short-term power load forecasting method based on Bagging-stochastic configuration networks.
Accurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and reduce ...
Xinfu Pang +4 more
doaj +1 more source
Forecasting Interest Rates: an application for Brazil [PDF]
Understanding the links between long and short-term interest rates is crucial for monetary policy makers, since Central Banks decide and set short-term interest rates in order to affect indirectly long-term interest rates, which affects aggregate ...
Benjamin M. Tabak +2 more
core
Short-term forecasting of COVID-19 using support vector regression: An application using Zimbabwean data. [PDF]
Shoko C, Sigauke C.
europepmc +1 more source
Short-term economic forecasting
Read before the Society, 18 December 1964 The main purpose of short-term economic forecasting is to try to assess prospective economic conditions as a guide to the policy required to maintain economic activity at the liighest sustainable level. The period of the forecast is usually one of nine to twelve months, i.e. to the end of the calendar or fiscal
openaire +1 more source
Putting the New Keynesian DSGE model to the real-time forecasting test [PDF]
Dynamic stochastic general equilibrium models have recently become standard tools for policy-oriented analyses. Nevertheless, their forecasting properties are still barely explored.
Kolasa, Marcin +2 more
core
To the issue of forecasting price dynamics in the property valuation
The problems of short-, medium- and long-term forecasting price dynamics are considered. The improvement of short-term forecasting techniques based on exponential smoothing is proposed.
O.N. Gnennyi
doaj
Short-term mortality forecasting
Short-term mortality forecasts are crucial for understanding the impact of sudden mortality shocks, whether resulting from pandemics, heat waves, or other emergencies. Reliable seasonal mortalitypredictions can help identify vulnerable groups within populations or across geographical regions, enabling more targeted interventions.
openaire +2 more sources

