A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting

A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting

A vital step toward a sustainable future is the power grid's incorporation of renewable energy sources. Wind energy is significant because of its broad availability and minimal environmental impact. The paper presents a comparative analysis of recurrent neural network algorithms and gradient bo...

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Bibliographic Details
Main Authors: Ivanović Luka, Milić Saša D., Sokolović Živko, Rakić Aleksandar
Format: Article
Language:English
Published: Electrical Engineering Institute Nikola Tesla 2024-01-01
Series:Zbornik Radova: Elektrotehnički Institut "Nikola Tesla"
Subjects:
machine learning
recurrent neural network
long short-term memory
gated recurrent unit
gradient boosting machines
xgboost
wind farm
power generation
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/0350-8528/2024/0350-85282434015I.pdf
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