forecasting/prediction
Prediction of Weather and Rainfall Forecasting using Classification Techniques
... C. R. Rivero, J. Pucheta, S. Laboret, M. Herrera and V. Sauchelli et al [2013],In this occupation an algorithm to fiddle with parameters using a Bayesian method for cumulative rainfall time series forecasting ...
5
Forecasting Word Model: Twitter based Influenza Surveillance and Prediction
... such forecasting words, one can first estimate the optimal time lag for each word based on their cross ...for forecasting influenza ...sufficient forecasting performance (correlation ratio ...future ...
11
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 ...
23
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 ...
6
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 ...
9
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 ...
74
Weather Radar image Based Forecasting using Joint Series Prediction
... times, forecasting was mostly based on weather pattern ...rainfall forecasting. Present rainfall forecasting embodies a combination of computer models, interpretation, and an acquaintance of weather ...
57
Advanced Weather Forecasting Prediction using Deep Learning
... Rohitkumarreddy, P. bhanusaikiran and P. Nithinchowdary (2015) Forecasting weather with ANN and data mining. In this work, the researcher made an effort to forecast the weather using both the exploration and ...
7
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] ...
6
Skill of a global forecasting system in seasonal ensemble streamflow prediction
... Seasonal forecasting by GCMs is based on coupled ocean–atmospheric integrations, where both atmospheric and oceanic components of the Earth’s sys- tem are taken into ...climate forecasting at seasonal scale ...
12
Different Data Mining Techniques for Weather Prediction
... Weather forecasting is one of the important problems which are addressed by the meteorology departments all over the ...these forecasting should be communicated for the end users ...These forecasting ...
5
Energy Consumption Prediction Using Machine Learning; A Review
... Abstract: Machine learning (ML) methods has recently contributed very well in the advancement of the prediction models used for energy consumption. Such models highly improve the accuracy, robustness, and ...
61
Spatial Clustering Simulation on Analysis of Spatial-Temporal Crime Hotspot for Predicting Crime activities
... spatial‐temporal prediction of crime that allows forecasting of the criminal activity behaviour in a particular district by using structured crime classification ...for forecasting crime is based on ...
8
AUTOMATIC SPOKEN LANGUAGE RECOGNITION FOR MULTILINGUAL SPEECH RESOURCES
... weather prediction uses complex mathematical models and run them on powerful computers to forecast weather ...weather prediction models have proliferated and can be classified into regional and global ...
11
Subjective well‐being and valuation of future health states : discrepancies between anticipated and experienced life satisfaction
... made to use well‐being predictions to determine the relative impor‐ tance of different health domains. A notable exception is the work of Ubel, Loewenstein, and Jepson (2005) who attempted to debias people's predictions ...
9
A probabilistic view on the August 2005 floods in the upper Rhine catchment
... probabilistic forecasting system is tested, which is based on a hydrological-meteorological ensemble prediction ...ensemble prediction system to a horizontal reso- lution of 10 km, while the ...
11
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 ...
12
ANN and Statistical Theory Based Forecasting and Analysis of Power System Variables
... speed prediction has applications not only in Electric sector but also in Military and Civilian fields for air traffic control, rocket launch, ship navigation, target tracking, missile guidance, and satellite ...
6
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 ...
7
Application in Power Load Forecasting Based on an Improved Combination Grey Model Weighted by Correlation
... Traditional forecasting methods [3-5] look for the relationships between relevant factors and power loads by establishing mathematical expressions, such as time series, linear regression, and trend extrapolation ...
6