Evolving long short-term memory neural network for wind speed forecasting
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Reference48 articles.
1. Ultra-short-term wind speed forecasting based on EMD-VAR model and spatial correlation;Jiang;Energy Convers. Manag.,2021
2. Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China;Ma;Inf. Sci.,2019
3. A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and differential evolution algorithm;Hu;Energy Convers. Manag.,2018
4. A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms;Han;Energy Convers. Manag.,2022
5. Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations;Prósper;Renew. Energy,2019
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