Short-Term Prediction of Photovoltaic Power Generation Based on LMD Permutation Entropy and Singular Spectrum Analysis-Reference-Cited by-同舟云学术

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Short-Term Prediction of Photovoltaic Power Generation Based on LMD Permutation Entropy and Singular Spectrum Analysis

Published:2023 Issue:7 Volume:120 Page:1685-1699
ISSN:0199-8595
Container-title:Energy Engineering
language:en
Short-container-title:

Author:

Ma Wenchao

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Energy Engineering and Power Technology,Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.techscience.com/energy/v120n7/52709/pdf

Reference24 articles.

1. Analysis of daily solar power prediction with data-driven approaches;Long;Applied Energy,2014

2. Short-term prediction of photovoltaic power based on fusion device feature-transfer;Du;Energy Engineering: Journal of the Association of Energy Engineering,2022

3. FCS-MPC strategy for pv grid-connected inverter based on mld model;Lu;Energy Engineering: Journal of the Association of Energy Engineering,2021

4. Comparison of adaptive neuro-fuzzy inference systems and echo state networks for PV power prediction;Jayawardene;Procedia Computer Science,2015

5. Efficient and secure wireless communications for advanced metering infrastructure in smart grids;Li;IEEE Transaction on Smart Grid,2012

Cited by 1 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. Optimization of Power System Balance and Short Term Generation Prediction Model Based on Machine Learning;2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2024-02-27

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