Applying wavelets to predict solar PV output power using generalized regression neural network-Reference-Cited by-同舟云学术

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Applying wavelets to predict solar PV output power using generalized regression neural network

Published:2013-09 Issue: Volume: Page:
ISSN:
Container-title:2013 North American Power Symposium (NAPS)
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Author:

Mandal Paras,Haque Ashraf Ul,Madhira Surya T. S.,Al-Hakeem Donna I.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6656123/6666822/06666912.pdf?arnumber=6666912

Cited by 4 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. Spectral normalization generative adversarial networks for photovoltaic power scenario generation;IET Renewable Power Generation;2024-03-05

2. Short-Term and Rolling Solar PV Power Forecasts: Performance Evaluation and Hyperparameter Tuning of Deep Learning Models;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

3. Day-Ahead and Week-Ahead Solar PV Power Forecasting Using Deep Learning Neural Networks;2022 North American Power Symposium (NAPS);2022-10-09

4. INTEGRATION OF RENEWABLE ENERGY IN SMART GRID;Applications of Modern Heuristic Optimization Methods in Power and Energy Systems;2020-03-27

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