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In this paper, we demonstrate the importance of embedding temporalinformation for an accurate prediction of solar irradiance. We have used twosets of models for forecasting solar irradiance. The first one uses only timeseries data of solar irradiance for predicting future values. The second oneuses the historical solar irradiance values, together with the correspondingtimestamps. We employ data from the weather station located at NanyangTechnological University (NTU) Singapore. The solar irradiance values arerecorded with a temporal resolution of $1$ minute, for a period of $1$ year. Weuse Multilayer Perceptron Regression (MLP) technique for forecasting solarirradiance. We obtained significant better prediction accuracy when the timestamp information is embedded in the forecasting framework, as compared tosolely using historical solar irradiance values.

Embedding Cyclical Information in Solar Irradiance Forecasting