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Short-term forecasting of COVID-19 in Germany and Poland during the second wave – a preregistered study

, 2020
Bracher J, Wolffram D, Deuschel J, Görgen K, Ketterer J, Ullrich A, Abbott S, Barbarossa M, Bertsimas D, Bhatia S, Bodych M, Bosse N, Burgard J, Castro L, Fairchild G, Fuhrmann J, Funk S, Gogolewski K, Gu Q, Heyder S, Hotz T, Kheifetz Y, Kirsten H, Krueger T, Krymova E, Li M, Meinke J, Michaud I, Niedzielewski K, Ożański T, Rakowski F, Scholz M, Soni S, Srivastava A, Zieliński J, Zou D, Gneiting T, Schienle M.   +37 more
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Short-Term Seasonal Energy Forecasting

2018 IEEE International Conference on Electro/Information Technology (EIT), 2018
Load Forecasting is an important tool used to predict future electrical utility data in a Smart Grid. Forecasting uses past data to predict trends for future energy usage. This paper investigates the application of exponential smoothing, ARIMA and recursive neural networks in TensorFlow on utility data taken from 20 different US Utility zones over four
Reilly Kedrowski, Justin Nelson, Arun Sukumaran Nair, Prakash Ranganathan   +3 more
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Monitoring Schemes in Short-term Forecasting

Journal of the Operational Research Society, 1976
A necessary ingredient of a practical short-term forecasting system in which the parameters of the demand model are not adaptive is some form of monitoring to detect changes in the demand pattern for which the model is inadequate. There are two major automatic methods currently in use for accomplishing this aim.
E. R. Golder, J. G. Settle
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Short term load forecasting by ANN

2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009
Short-term load forecasting (STLF) accuracy is very important for the power system. This study explores the application of neural networks to study the design of short-term load forecasting Systems for electricity market of Iran. In this paper, two seasonal artificial neural networks (ANNs) are designed and compared; so that model 2 (hourly load ...
Ali Azadeh, S. Farid Ghadrei, Behnaz Pourvalikhan Nokhandan   +2 more
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A Bayesian Approach to Short-Term Forecasting

Operational Research Quarterly (1970-1977), 1971
A new approach to short-term forecasting is described, based on Bayesian principles. The performance of conventional systems is often upset by the occurrence of changes in trend and slope, or transients. In this approach events of this nature are modelled explicitly, and successive data points are used to calculate the posterior probabilities of such ...
Harrison, P. J., Stevens, C. F.
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Short-Term Forecasting of Internal Migration

Environment and Planning A: Economy and Space, 1993
Models for short-range forecasts differ from those for intermediate and long-range forecasts because of the possibility of introducing lagged exogenous factors as explanatory variables. It is widely believed that certain exogenous variables, in particular estimates of state income, are useful leading indicators of migration rates.
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Short-term forecasting :

2022
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Short-term Forecasting

1996
When you have finished working through this chapter you should be able to Understand the limitations of time series analysis for SHORT-TERM FORECASTING Explain the term exponential smoothing Understand how the value of the smoothing CONSTANT, a, affects the forecast Define the terms MEAN and SMOOTHED mean ABSOLUTE DEVIATION ...
Ruth A. Schmidt, Helen Wright
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Short-Term Forecasting of Emergency Inpatient Flow

IEEE Transactions on Information Technology in Biomedicine, 2009
Hospital managers have to manage resources effectively, while maintaining a high quality of care. For hospitals where admissions from the emergency department to the wards represent a large proportion of admissions, the ability to forecast these admissions and the resultant ward occupancy is especially useful for resource planning purposes.
Gad Abraham, Graham B. Byrnes, Christopher A. Bain   +2 more
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