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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM27500

A Review on Solar Energy: Statistical and AI-based Solar Irradiance Forecasting

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM27500

Volume:

7 |

12 |

Dec 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM27500

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SB

Sandeep Budania

SJ

Shafi Jindal

SK

Sushil Kumar

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Abstract

We must consider the excessive usage of fossil fuels and their disastrous effects on the environment in light of the current electricity crisis. This means that in order to promote sustainable development, renewable resources must be adopted. The integration of such sporadic renewable energy sources into the current grid increased its capacity but also created problems for the stability of the power system. This research offers a realistic solution to these issues using a novel technological idea known as “solar irradiance forecasting,” which improves the stability of the system and offers better profile enhancement for the same. This paper reviewed the articles on statistical and AI-based solar irradiance forecasting in order to provide classifications for employees based on the situation.

KEYWORDS

Solar Energy Statistical and AI-based Solar Irradiance Forecasting.

Cite This Article

Sandeep Budania, Shafi Jindal, Sushil Kumar, "A Review on Solar Energy: Statistical and AI-based Solar Irradiance Forecasting," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023. https://doi.org/10.55041/IJSREM27500

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Publication Date

12/14/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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