Prediction of photovoltaic system output using hybrid least square support vector machine-Reference-Cited by-同舟云学术

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Prediction of photovoltaic system output using hybrid least square support vector machine

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 7th IEEE International Conference on System Engineering and Technology (ICSET)
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Author:

Aziz Muhammad Aidil Adha,Yasin Zuhaila Mat,Zakaria Zuhaina

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8114610/8123404/08123437.pdf?arnumber=8123437

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. LSTM-based Distributed Photovoltaic Output Interval Prediction Method for Source-load Collaboration;2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP);2023-04-21

2. Comparative Analysis of Mono-Facial and Bifacial Photovoltaic Modules for Practical Grid-Connected Solar Power Plant Using PVsyst;2022 IEEE International Conference on Power and Energy (PECon);2022-12-05

3. Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms;Scientific Reports;2022-08-24

4. Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method;Energy;2021-07

5. Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets;Energy Conversion and Management;2018-12

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