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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Solar Power Forecasting Using Machine Learning And Deep Learning: A Review
Authors
Tushar Arya, Ms. Anjali Sharma
Keywords
Solar Power Forecasting Using Machine Learning And Deep Learning: A Review
Abstract
The increasing reliance on solar energy necessitates accurate and efficient forecasting techniques to mitigate its inherent variability and improve integration into power systems. This review explores recent advancements in solar power forecasting using Machine Learning (ML) and Deep Learning (DL) approaches. It outlines the significance of forecasting, examines a variety of ML and DL models including Support Vector Machines, Random Forests, LSTM, CNN, and hybrid architectures, and discusses their effectiveness in handling meteorological and irradiance data. The report also highlights key metrics for model evaluation and provides comparative insights.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A4063
Paper ID - 282697
Page Number(s) - i993-i996
Pubished in - Volume 13 | Issue 4 | April 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Tushar Arya, Ms. Anjali Sharma, "Solar Power Forecasting Using Machine Learning And Deep Learning: A Review", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.i993-i996, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4063.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
March 2026
Volume 14 | Issue 3
Last Date :
31-Mar-2026
Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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