A hybrid bat Algorithm Artificial Neural Network for grid-connected photovoltaic system output prediction-Reference-Cited by-同舟云学术

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A hybrid bat Algorithm Artificial Neural Network for grid-connected photovoltaic system output prediction

Published:2014-03 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014)
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Author:

Ramawan Mohd Kamil,Othman Zulkifli,Sulaiman Shahril Irwan,Musirin Ismail,Othman Norhalida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6808928/6814388/06814502.pdf?arnumber=6814502

Cited by 6 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. Novel applications of various neural network models for prediction of photovoltaic system power under outdoor condition of mountainous region;Sustainable Energy, Grids and Networks;2024-06

2. Indoor Positioning System Using Artificial Neural Network With Swarm Intelligence;IEEE Access;2020

3. ANN and Multiple Linear Regression Based Modelling for Experimental Investigation of Photovoltaic Module Maximum Power Production Under Outdoor Condition of Mountainous Region;Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems;2019-07-31

4. Swarm bat algorithm with improved search (SBAIS);Soft Computing;2018-12-12

5. Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models;Renewable and Sustainable Energy Reviews;2017-09

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