Wind Power Prediction Using Genetic Programming Based Ensemble of Artificial Neural Networks (GPeANN)
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7117864/7118353/07118409.pdf?arnumber=7118409
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Short-Term Wind Power Prediction Based on a Modified Stacking Ensemble Learning Algorithm;Sustainability;2024-07-12
2. Wind speed and wind power forecasting models;Energy & Environment;2024-01-31
3. Forecasting Electricity Power Generation of Pawan Danavi Wind Farm, Sri Lanka, Using Gene Expression Programming;Applied Computational Intelligence and Soft Computing;2022-05-16
4. The Hidden-Layers Topology Analysis of Deep Learning Models in Survey for Forecasting and Generation of theWind Power and Photovoltaic Energy;Computer Modeling in Engineering & Sciences;2022
5. An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine;Renewable Energy;2018-10
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