Prediction and forecasting
Precipitation forecasting by a mesoscale numerical weather prediction (NWP) model: eight years of experience
... The focus of RAPHAEL was to demonstrate the use of a one-way coupled system of atmospheric and hydrological models for flood forecasting. An important aspect was the indirect verification of the precipitation ...
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Development of temporal modelling for forecasting and prediction of malaria infections using time series and ARIMAX analyses: A case study in endemic districts of Bhutan
... elimination. Forecasting malaria enables suitable allocation of resources and forestalls outbreaks and ...a forecasting model based on the time series ...a prediction model incorporating climatic ...
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Tracking the uncertainty in streamflow prediction through a hydrological forecasting system
... the forecasting system, instead of computing the uncertainties generated by individual model components, their approach focused on the analysis of the statistical properties of the discharge forecast ...
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Application of quantitative precipitation forecasting and precipitation ensemble prediction for hydrological forecasting
... flood forecasting precision, due to the uncertainty of the input to the hydrological ...Precipitation prediction gives better hydrological forecast information, better satisfying the need for risk ...
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Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting
... Day-ahead forecasting of electricity prices is important in deregulated electricity markets for all the stakeholders: energy wholesalers, traders, retailers, and ...price forecasting is an inherently ...
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Seismic Data Forecasting: A Sequence Prediction or a Sequence Recognition Task
... earthquake forecasting, which are under ...Earthquake prediction may also incorporate time series analysis [4], ...Earthquake prediction, from this point of view, may be classified into a ...
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Prediction of Weather and Rainfall Forecasting using Classification Techniques
... Zhangjiajie, Hunan China et al [2013], In today's world there is sample occasion to cloud the frequent sources of time series data obtainable for decision making. This time efficient data can be used to pick up decision ...
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Advanced Weather Forecasting Prediction using Deep Learning
... Weather forecasting has a pivotal role in everyday life, including worldwide agricultural and industrial sectors as these things are based on the weather ...Besides forecasting it is used to for the purpose ...
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EMPLOYABILITY OF INTERNET OF THINGS IN BUSINESS FEASIBILITY FORECASTING, AND PREDICTION ANALYSIS
... An exploratory factor analysis was deployed to analyse whether unobserved factors are underlying the “blocks” (technical aspect, business strategy, cost structure, selec[r] ...
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BUSINESS PROCESS REENGINEERING TO IMPROVE PROCESS ALIGNMENT & INFORMATION SYSTEM PLATFORM AT STAINLESS EQUIPMENT COMPANY
... This paper presents a Belief Forecasting Methodology (BFM) based on node activity prediction. It targets the problem of innocent node isolation in practical communication based on the influence of node ...
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Predicting the Rainfall of Ghana using the Grey Prediction Model GM(1,1) and the Grey Verhulst Model
... From the study, it was revealed that the GM(1,1) predicted values were at a decreasing rate (Figure 1). According to Nkrumah F. et al (2014), the country’s rainfall pattern has had a decreasing trend from 1980 to 2008. ...
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A Particle Swarm Optimization based Machine Learning Approach for Wave Height Prediction
... The prediction of wave height is one of the major problems of coastal engineering and coastal ...the prediction of significant wave height have been considerably developed using flexible calculation ...
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AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... weather prediction (NWP) is the process of forecasting future weather parameters based on the current given weather parameters via mathematical models that describe the flow of ...the forecasting at ...
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To Predict Rain Fall in Desert Area of Rajasthan Using Data Mining Techniques
... Weather forecasting has always been one of the most challenging problems in the desert areas of ...various forecasting methods available for the prediction of rainfall and among these methods data ...
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Forecasting Word Model: Twitter based Influenza Surveillance and Prediction
... using forecasting words that appear in Twitter usage before main epidemics ...and forecasting model designed to predict the number of influenza ...future prediction, and correlation ratio ...enables ...
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Flood forecasting using medium range probabilistic weather prediction
... In general, the observed flow is largely under-predicted, especially prior to the onset of the major peak flow on July 5. Only at the start and during peak flow do discharge predictions give a somewhat improved ...
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A space time generator for rainfall nowcasting: the PRAISEST model
... Abstract. The paper introduces a stochastic technique for forecasting rainfall in space-time domain: the PRAISEST Model (Prediction of Rainfall Amount Inside Storm Events: Space and Time). The model is ...
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Embedding reconstruction methodology for short time series – application to large El Ni˜no events
... Abstract. We propose an alternative approach for the em- bedding space reconstruction method for short time series. An m-dimensional embedding space is reconstructed with a set of time delays including the relevant time ...
A New Approach for Rainfall Prediction using Artificial Neural Network
... Mostly, farmers are depending on the monsoon for fertilizing their crop, it is requirement for predicting the rainfall to be having advanced knowledge of actual rainfall. In India, most of the states are facing the ...
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ANN and Statistical Theory Based Forecasting and Analysis of Power System Variables
... and prediction of randomly varying ...generation forecasting is necessary as large intermittent generations have influence on the grid security, system operation, and market ...
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