IOSR Journal of Electronics and Communication Engineering · 2014 · 12 citations · 7 references
Natural SciencesEarth SciencesCloud PhysicsTime Series AnalysisWeather ForecastingPrecipitationTime Series ForecastingArima ModelsAutoregressive Integrated Moving AverageAutoregressive Integrated Moving Average ForecastingPropagation Prediction ModelsRain AttenuationRain Attenuation ModelingWeather Attenuation
Satellite communication systems operating at Ka band and Ku band frequencies must affect the problem of propagation impairments which includes fading due to rain, clouds, snow for obtaining the required performance. Rain affects the signal most and involved is absorption & scattering. Auto-Regressive Integrated Moving Average (ARIMA) model is used to generate and predict the time series values for rain attenuation. The predicted values obtained for different window size of the ARIMA model and analysis is done in terms of error matrix
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ARIMA-Based Time Series Model of Stochastic Wind Power Generation
Peiyuan Chen, Troels Pedersen, Birgitte Bak‐Jensen et al. · IEEE Transactions on Power Systems · 2009 · 396 citations · Full text
Computing, Meteorology, Forecasting +16