2015
DOI: 10.7763/jocet.2016.v4.278
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Comparative Study of Parameter Estimation Methods for Solar Irradiation Forecasting

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Cited by 3 publications
(1 citation statement)
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“…In a recent study, Kashyap et al [210] regressed an ARMA model for hourly solar irradiance prediction for forecast horizon up to 500 h using Forgetting Factor (FF) and Karman Filter (KF) parameter estimation methods, and indicated that the latter led to better prediction performance. While ARMA model developed with Expectation Maximisation algorithm is robust and reliable in short-term forecasting for heterogeneous dataset [211], David et al [212] improved the prediction reliability of recursive ARMA model through its association with GARCH model, wherein uncertainties in solar forecasting were captured.…”
Section: Referencesmentioning
confidence: 98%
“…In a recent study, Kashyap et al [210] regressed an ARMA model for hourly solar irradiance prediction for forecast horizon up to 500 h using Forgetting Factor (FF) and Karman Filter (KF) parameter estimation methods, and indicated that the latter led to better prediction performance. While ARMA model developed with Expectation Maximisation algorithm is robust and reliable in short-term forecasting for heterogeneous dataset [211], David et al [212] improved the prediction reliability of recursive ARMA model through its association with GARCH model, wherein uncertainties in solar forecasting were captured.…”
Section: Referencesmentioning
confidence: 98%