A review on Day-Ahead Solar Energy Prediction

Deigratia Sutnga, Bikramjit Goswami

Abstract


Accurate day-ahead prediction of solar energy plays a vital role in the planning of supply and demand in a power grid system. The previous study shows predictions based on weather forecasts composed of numerical text data. They can reflect temporal factors therefore the data versus the result might not always give the most accurate and precise results. That is why incorporating different methods and techniques which enhance accuracy is an important topic. An in-depth review of current deep learning-based forecasting models for renewable energy is provided in this paper.

Keywords


Day ahead prediction; solar energy; temporal factors

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References


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