Photovoltaic power prediction Based on Backpropagation Neural Network with Honey Badger Algorithm-Reference-Cited by-同舟云学术

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Photovoltaic power prediction Based on Backpropagation Neural Network with Honey Badger Algorithm

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
language:
Short-container-title:

Author:

Chen Yingxue¹,Feng Guanxiang¹,Gou Linfeng¹,Chen Huatao¹

Affiliation:

1. Northwestern Polytechnical University,School of Power and Energy,Xi’an,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Major Science and Technology Projects of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327009.pdf?arnumber=10327009

Reference21 articles.

1. Data-driven Method of Renewable Energy Based on Generative Adversarial Networks and EnergyPLAN

2. Deep learning-based energy management of a hybrid photovoltaic-reverse osmosis-pressure retarded osmosis system

3. Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm

4. Improved honey badger algorithms for parameter extraction in photovoltaic models;düzenl??;Optik (Stuttgart),2022

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