Integrating Machine Learning Algorithms for Predicting Solar Power Generation

Integrating Machine Learning Algorithms for Predicting Solar Power Generation

In recent years, there has been a growing interest in using artificial intelligence (AI) techniques to predict solar power generation. One such technique is the use of an artificial neural network (ANN) with a genetic algorithm (GA) to optimize its parameters. This approach involves training an ANN...

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Bibliographic Details
Main Authors: Sangeetha K., Liz Anitha Sofia, P. Suganthi, Femilinjana D. Little
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
machine learning algorithms
solar power generation
renewable energy sources
predictive modeling
artificial neural networks
support vector machines
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_01004.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_01004.pdf

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