Hybrid KNN-SVM machine learning approach for solar power forecasting

Hybrid KNN-SVM machine learning approach for solar power forecasting

Predictions about solar power will have a significant impact on large-scale renewable energy plants. Photovoltaic (PV) power generation forecasting is particularly sensitive to measuring the uncertainty in weather conditions. Although several conventional techniques like long short-term memory (LSTM...

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Bibliographic Details
Main Authors: Nishant Saxena, Rahul Kumar, Yarrapragada K S S Rao, Dilbag Singh Mondloe, Nishikant Kishor Dhapekar, Abhishek Sharma, Anil Singh Yadav
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Environmental Challenges
Subjects:
Solar power forecasting
Hybrid model
KNN
Optimization
Solar energy
SVM
Online Access:http://www.sciencedirect.com/science/article/pii/S2667010024000040

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http://www.sciencedirect.com/science/article/pii/S2667010024000040

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