Prediction And Forecasting
Post processing rainfall forecasts from numerical weather prediction models for short term streamflow forecasting
... flood and short term ensemble streamflow ...weather prediction models typically does not provide rainfall forecasts with these properties and therefore some form of post processing is ...
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An evaluation of the Canadian global meteorological ensemble prediction system for short-term hydrological forecasting
... MAE and of the CRPS, as a function of prediction horizon, is drawn in ...deterministic and probabilistic scores that are close to one another for prediction horizon up to about 48 h ...MAE ...
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Application of Artificial Neural Networks for Predicting Generated Wind Power
... country and its economy is growing in all areas ...hydro and coal prompts us to find other energy ...investigate and collect data regarding availability of wind energy in all regions of the country ...
4
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment
... tion forecasting is imminent, starting from simple data mining and noise suppression methods to more complete and efficient machine learning ...Grosman and Lewin [33] use an algo- rithm based ...
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Topic: Modelling and Forecasting A new approach to modelling and forecasting monthly overnights in the Northern Region of Portugal
... network’s prediction and the actual target (Thawornwong & Enke; ...layer and one or more intervening layers also referred to as hidden ...stability and generally good ...
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Airport Performance Analysis and Forecasting
... Abdelghany and Guzhva [62] used an autoregressive moving average model (ARMA) for fore- casting short-term airport demand and emphasise that “while the model is more appropriate for short-term ...
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Estimating and forecasting international yield curves
... replicate and extend to other countries a model for the prediction of affine interest rates term structures ...Hamilton and Wu (2012) and also Ang and Piazzesi (2003), which elaborate ...
9
Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer
... price forecasting, finding an effective forecasting model for the said time series data is ...price forecasting is unavoidable to face with the poor generalization [13, 14] and the requirement ...
6
Forecasting electricity prices
... prices, and particularly price spikes, are influenced heavily by a wide range of factors ...outages, and market participant behaviors) other than the electricity ...relationships, and the ...
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A METEOROLOGICAL TOWER BASED WIND SPEED PREDICTION MODEL USING FUZZY LOGIC
... Oysal and M. Kurban, 2009. Missing wind data forecasting with adaptive neuro-fuzzy inference ...Hasan and J. Hossen, 2009. Prediction of power generation of small scale vertical axis wind ...
5
An Efficient and Simplified Model for Forecasting using SRM
... of prediction errors to improve the forecasting ...results and is easy to incorporate with a little trade off of accuracy with the huge advantage of computation of fine tuning the model based on ...
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A New Particle Swarm Optimization Based Stock Market Prediction Technique
... weights and applied this technique in the forecasting of both NASDAQ100 and S&P500 stock market ...efficient forecasting model for prediction of S&P500 and DJIA stock ...
6
Forecasting tomorrow’s tourist
... hybrid models. SVM were adopted by Pai et al. (2010) for implementing a seasonal regression model (hence, support vector regression) with good prediction results. In an SVM approach, the input belonging to the ...
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Modelling and forecasting brent prices
... series, and two data sets are analysed: the daily and monthly Brent ...2009, and, in order to better understand the behaviour of both data sets, a descriptive analysis is performed and the ...
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MÉTODOS COLABORATIVOS NA GESTÃO DE CADEIAS DE SUPRIMENTOS: DESAFIOS DE IMPLEMENTAÇÃO.
... Planning, Forecasting and Replenishment (CPFR) como o método colaborativo mais abordado e, posteriormente, um estudo de caso identiicou diiculdades na implementação que colaboraram com o que foi pesquisado ...
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Forecasting portuguese Gdp
... ARFC0b and ARFT0b specifications ...benchmark and the average gain is ...the forecasting performance increase when considering more distant time ...average forecasting gains is never higher ...
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Forecasting of the tourist streams subject to seasonal fluctuations
... On the basis of exponential smoothing of time series the trend-seasonal multiplicate models of forecasting of tourist streams are constructed. Keywords: forecasting, time s[r] ...
7
Excesses, durations and forecasting value-at-risk
... Bracquemond and Gaudoin ...(Lin and Guill´ en 1998) to economic problems involving duration ...(Harman and Zuehlke 2004) and backtesting Value-at-Risk (Haas ...Nakagawa and Osaki ...
180
Data-Driven Forecasting Schemes: Evaluation and Applications
... multi-step-ahead forecasting schemes are evaluated in terms of performance and ...NNs, and recurrent NF systems, analysis results have shown that predictors based on step inputs perform better than ...
7
J. Braz. Chem. Soc. vol.13 número6
... commercially, and whilst most of them deal predominantly with human health hazards such as carcinogenicity, teratogenicity and skin sensitisation, some include modules for the prediction of ...
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