Predicting Best Regression Model for Prediction of Global Irradiance on Solar Dataset

Authors

  • Raunak Kumar Jha, Ria Sinha, Rishavh Saxena, Amit Rai

Abstract

Solar energy refers to the process of capturing the energy from the sun and then converting it into the electricity. After then we can use that electricity to light up our houses, streets, and power our machines as well. It is very important because it is a safe alternative which can replace current fossil fuels like coal and gases for generation of electricity. [7]

Solar Irradiance is defined as the power per unit area, received when energy of the sun is captured in the form of the electromagnetic radiations. When all the energy is measured it is known as Total Solar Irradiance. When it is measured as a measure of wavelength it is known as spectral Irradiance.

The S.I Unit of Irradiance is watt per meter square. [9]

Predicting solar Irradiance has been an important topic in renewable energy generation nowadays. Prediction improves the planning and operation of the photovoltaic systems and yields many economic advantages for the electric utilities.  They are also used for planning the development of the solar power systems. Different solar power technologies use different components of the total solar Irradiance.  Accurate forecasting of solar energy also plays an important role in the integration into the grid. [11]

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Published

2020-05-18

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Section

Articles