Results 261 to 270 of about 95,141 (307)

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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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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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 :

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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Short‐Term Forecasting of the Economy

Managerial Finance, 1981
At all levels of economic management — from the economy to the company — forecasting is widely accepted as a crucial aspect of policy making. The purpose of this paper is first and foremost to give a brief, simplified explanation of the method of shortterm (up to two years ahead) national income forecasting used by, for example, the Treasury. Under the
John R. Sparkes, Stephen F. Witt
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Improving short-term forecasts

Omega, 1990
Abstract This empirical study compares the accuracy of combined forecasts, found by averaging individual forecasts from univariate time-series techniques, with judgmental forecasts actually made daily by experienced practitioners in real business settings.
NR Sanders, LP Ritzman
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The Short-Term Forecasting Model

1970
The short-term forecasting model is the first of a series of types of models, to be discussed in some of the following chapters. In fact the term ‘tiannual macro-economic model’ would be more appropriate. The one essentially different feature of quarterly models, seasonal adjustment, is not discussed in this book.
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Short-Term Forecasting

2019
Although assigned a range of tasks, Godley quickly gains a reputation for assembling data and preparing the one-year forecast, which has become a central Treasury function and the anchor of its other activities. His data analysis skills are the Launchpad for some life-changing intellectual alliances, especially with Cambridge economist Nicholas Kaldor (
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