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Short-Term Forecast

Application of Improved Analysis of Variance to Ionospheric TEC Short Term Forecast

Application of Improved Analysis of Variance to Ionospheric TEC Short Term Forecast

... TEC short-term ...extrapolation forecast experiments, both the improved method and the original one have been adopted so comparison of the result can be ...

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A Novel Approach for the Short-Term Forecast of the Effective Cloud Albedo

A Novel Approach for the Short-Term Forecast of the Effective Cloud Albedo

... 30-minute forecast of the effective cloud albedo is about 30 % for a neuronal network state of the art approach and a phase correlation ...good short-term forecast compared to NWP is ...

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Very short-term forecast of near-coastal flow using scanning lidars

Very short-term forecast of near-coastal flow using scanning lidars

... very short-term forecast of near-coastal winds, using wind speed advection-based ...the forecast- ing technique was not able to predict the turbulence of the ...

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Drought analysis and short-term forecast in the Aison River Basin (Greece)

Drought analysis and short-term forecast in the Aison River Basin (Greece)

... while short-term drought forecast was investigated by means of 3-D loglin- ear ...and forecast of the drought class tran- sition probabilities were based on the odds of the expected ...

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Short-term forecast of gold price using generalized autoregressive conditional heteroscedastic models

Short-term forecast of gold price using generalized autoregressive conditional heteroscedastic models

... Since the gold market is highly volatile, the estimation of the time series model must be able to detect its volatility. This study will determine the precise Box- Jenkins and GARCH models for forecasting the volatility ...

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Development of production intensity of Czech agriculture in 1998–2004 and its short-term forecast

Development of production intensity of Czech agriculture in 1998–2004 and its short-term forecast

... The paper presents findings obtained in the exact evaluation of an average level and its predicative possibility, dynamics and the trend of indicators of an aggregate agricultural account as a fundamental methodological ...

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Short-Term Forecast of Wind Speed through Mathematical Models

Short-Term Forecast of Wind Speed through Mathematical Models

... models for forecasting time series applied in wind generation based on the combination of time series 828. models with artificial neural networks[r] ...

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SPEL system  Overview of the SPEL system (Rev  1), 1995

SPEL system. Overview of the SPEL system (Rev. 1), 1995

... - productivities prices income demand V >f SHORT-TERM FORECAST AND SIMULATION SYSTEM SPEL/EU-SFSS Ex-post analyses: - ^ MEDIUM-TERM FORECAST AND SIMULATION SYSTEM SPEL/EU-MFSS - Policy s[r] ...

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Forecast accuracy improvements at a fast moving consumer goods company : How to improve the Raws and Packs material requirements forecast to reduce procurement losses

Forecast accuracy improvements at a fast moving consumer goods company : How to improve the Raws and Packs material requirements forecast to reduce procurement losses

... the short-term vendor forecast should be measured on a monthly basis for the 1 month forecast lag in order to identify incorrect parameters and forecast ...the short term ...

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Implementation of Neural Network Approach for Short term Load forecasting

Implementation of Neural Network Approach for Short term Load forecasting

... to forecast electricity demand with lead times that range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ...ahead). Short-term ...

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A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction

A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction

... The neural network containing the neurons between the input and output layer is called multilayer neural network and neuron layer between the input and output layer is referred as hidden layer as shown in Fig. 1. The ...

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Research on the Rationality of Sample Size in Wind Power Forecast Evaluation Index

Research on the Rationality of Sample Size in Wind Power Forecast Evaluation Index

... Wind speed generally follows Weibull distribution model [8,9], and a lot scholars use t-distribution or normal distribution [10,11] to describe the fluctuations in short-term and ...

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Short-term, single, multiple-purpose reservoir operation: importance of loss functions and forecast errors

Short-term, single, multiple-purpose reservoir operation: importance of loss functions and forecast errors

... The absolutemagnitudes shown in the figures depend on the storage target chosenand especiallythe releasetarget used, as well as the shape of the loss functions.Additional trials with dif[r] ...

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A hybrid model for short term real-time electricity price forecasting in smart grid

A hybrid model for short term real-time electricity price forecasting in smart grid

... Specifically, in [15], the authors proposed methods including hybrid networks of self-organized map (SOM) and support-vector machine (SVM) to predict short-term electricity price. With the trained network, ...

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Valuing travel time changes: a case of short-term or long-term choices?

Valuing travel time changes: a case of short-term or long-term choices?

... In the above specification, we allow for differences in behaviour between the long-term and short- term games, as well as between respondents receiving WTA scenarios in the short-term ...

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Investigation of optimum jack-up vessel chartering strategy for offshore wind farm O&M activities

Investigation of optimum jack-up vessel chartering strategy for offshore wind farm O&M activities

... Operating further from shore increases the logistic challenges of offshore wind Operation and Maintenance (O&M) activities. Therefore, available vessels in the market and the variety of benefits & drawbacks of ...

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Modelling survival : exposure pattern, species sensitivity and uncertainty

Modelling survival : exposure pattern, species sensitivity and uncertainty

... We investigate calibration and forecasting of survival with GUTS in three case studies. In the irst study, we discuss parameter identiication for GUTS proper with respect to experimental design. To identify the data ...

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Determining the Better Approach for Short-Term Forecasting of Ghana’s Inflation: Seasonal-ARIMA vs. Holt-Winters Maurice Omane-Adjepong, Francis T. Oduro, Samuel Dua Oduro

Determining the Better Approach for Short-Term Forecasting of Ghana’s Inflation: Seasonal-ARIMA vs. Holt-Winters Maurice Omane-Adjepong, Francis T. Oduro, Samuel Dua Oduro

... to forecast inflation using Holt-Winters’ ...a forecast from the Seasonal-ARIMA approach was compared to that of the ...optimal forecast approach for obtaining short-term out-of-sample ...

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Design of experiment on sustainable daily air surface temperature prediction in Cameron Highlands, Malaysia

Design of experiment on sustainable daily air surface temperature prediction in Cameron Highlands, Malaysia

... This study also, to investigate the interaction between air surface temperature with others climatologically parameters such as humidity, sunshine, total rain etc. in Cameron Highlands. Another objective of this study ...

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Measuring the Forecast Performance of GARCH and Bilinear-GARCH Models in Time Series Data

Measuring the Forecast Performance of GARCH and Bilinear-GARCH Models in Time Series Data

... The remaining part of this paper is organized as follows: Section 2 covers the specification of GARCH models, estimation of the parameters of Bilinear-GARCH model (BL-GARCH), Section performance adequacy measurement 3, ...

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