Evolutionary Nonlinear Model Output Statistics for Wind Speed Prediction using Genetic Programming
Author:
Affiliation:
1. Seokyeong University, Korea, Republic of
Publisher
SCITEPRESS - Science and and Technology Publications
Cited by 5 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. Hybrid Stochastic Genetic Evolution-Based Prediction Model of Received Input Voltage for Underground Imaging Applications;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18
2. Prediction of Wind Speed Using a Hybrid Regression-Optimization Approach;Journal of Power and Energy Engineering;2023
3. Using neural network to establish manufacture production performance forecasting in IoT environment;The Journal of Supercomputing;2022-01-18
4. Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model;Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms;2021
5. Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model;Advances in Computational Intelligence and Robotics;2018
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