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Long-term demographic forecasting

Вестник Российской академии наук, 2023
The results of the latest demographic forecasts from the world’s leading specialized centers (United Nations Population Division, the Wittgenstein Center for Demography and Global Human Capital, the Institute for Health Metrics and Evaluation) are considered, demonstrating a certain bias in favor of individual countries and their calculation methods ...
V. L. Makarov   +5 more
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Traffic Hyperparameters for Long-Term Traffic Forecasting

2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021
Traffic forecasting researches promise lower error rates for longer periods. However, most studies in the literature are generally focused on short term traffic speed estimation. In this study, the parameters that affect the long-term traffic prediction are examined. Three different methods including well-known short-term predictor ARIMA, proposed Mean
Güvensan, Mehmet Amaç, Keskin, Ceren
openaire   +2 more sources

Long-term forecasting and evaluation

International Journal of Forecasting, 2007
Abstract Looking ahead thirty years is a difficult task, but is not impossible. In this paper we illustrate how to evaluate such long-term forecasts. Long-term forecasting is likely to be dominated by trend curves, particularly the simple linear and exponential trends.
Clive W.J. Granger, Yongil Jeon
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Long-Term Stock Forecasting

SSRN Electronic Journal, 2020
It is well-known that there is a strong correlation between valuation ratios and long-term returns on certain stock-market indices such as the S&P 500. Scatter-plots of valuation ratios versus long-term stock-returns often show a characteristic downwards slope, where higher valuation ratios correspond to lower future stock-market returns, and vice ...
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Evaluating long term forecasts

Energy Economics, 2010
Abstract The U.S. Department of Energy's Energy Information Administration (EIA), and its predecessor organizations, has published projections of U.S. energy production, consumption, distribution and prices annually for over 30 years. A natural issue to raise in evaluating the projections is an assessment of their accuracy compared to eventual ...
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Long-Term Volatility Forecasting

SSRN Electronic Journal, 2012
A variety of historical-volatility, peer-historical-volatility, implied-volatility and blended estimators of stock price volatility are developed and tested for a group of large U.S. companies over roughly a thirty-year window. Longer-term historical estimators (up to fifteen years) are found to outperform shorter-term estimators as forecasts of five ...
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The Long-Term Forecast for Weather Bulletin Translation

Machine Translation, 2005
Machine Translation (MT) is the focus of extensive scientific investigations driven by regular evaluation campaigns, but which are mostly oriented towards a somewhat particular task: translating news articles into English. In this paper, we investigate how well current MT approaches deal with a real-world task.
Philippe Langlais   +3 more
openaire   +1 more source

Long-term load forecasting in electricity market

2008 IEEE International Conference on Electro/Information Technology, 2008
Long-term load forecasting has a vital role in generation, transmission and distribution network planning. Traditional studies for long-term load forecasting were based on regression method, which could not provide a true representation of power system behavior in a volatile electricity market.
Hossein Daneshi   +2 more
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Why Forecast for the Long Term?

Journal of Business Strategy, 1989
Too often, long‐range environmental forecasting is ignored in order to cut costs. But long‐range forecasting can actually reduce costs and win new markets ahead of the competition. For example, Sears removed flammable nightwear and substituted nonflammable nightwear long before government action made this a requirement. S. C.
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Models for long-term energy forecasting

2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491), 2004
Based on historical data related to an actual power system, the paper develops and evaluates the accuracy of a range of mathematical models for long-term forecasting of energy demand in the system. Starting from the basic relationship in an econometric model based on regression analysis, the development and evaluation are extended to include advanced ...
C.W. Fu, T.T. Nguyen
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