A Review paper on study & analysis of wind speed & solar irradiation forecasting using different machine learning techniques

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Shivam Dhawan; Raghunandan Singh Baghel

A Review paper on study & analysis of wind speed & solar irradiation forecasting using different machine learning techniques

Authors: Shivam Dhawan, Raghunandan Singh Baghel

Unique Paper ID: 179541
Volume: 11
Issue: 12
PageNo: 8373-8376

Keywords: Solar irradiation Solar PV Renewable energy

Abstract:
The increasing adoption of renewable energy sources like solar and wind power poses challenges to grid stability due to their intermittent nature. To address these challenges, advanced forecasting techniques are being developed to predict wind speeds and solar irradiance. This study reviews the importance of forecasting in power systems, discusses various forecasting approaches, and assesses their performance. Additionally, it explores methods to improve forecast accuracy and highlights key issues and emerging trends in the field.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 8373-8376

A Review paper on study & analysis of wind speed & solar irradiation forecasting using different machine learning techniques

Available:https://ijirt.org/article?manuscript=179541

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UGC Approved
Journal no 47859

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