Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5581822/5595732/05596782.pdf?arnumber=5596782
Cited by 14 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. PV Panel Model Parameter Estimation by Using Neural Network;Sensors;2023-03-31
2. Synthetic generation of hourly photovoltaic power forecasts using Bayesian Regularised Neural Networks;2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED);2022-10-17
3. Failure diagnosis and trend‐based performance losses routines for the detection and classification of incidents in large‐scale photovoltaic systems;Progress in Photovoltaics: Research and Applications;2022-05-13
4. Compare and Evaluate One Hour Ahead Solar Power Forecasting with ANN Tuned Using Genetic Algorithm and Hybrid Genetics-Based Particle Swarm Optimization;Lecture Notes in Electrical Engineering;2022
5. A hybrid methodology for distribution level photovoltaic power production forecasting verified at the distribution system of Cyprus;IET Renewable Power Generation;2021-09-23
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