Short‐term photovoltaic power prediction based on MDCM‐GA‐LSTM model-Reference-Cited by-同舟云学术

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Short‐term photovoltaic power prediction based on MDCM‐GA‐LSTM model

Published:2022-08-18 Issue:10 Volume:2022 Page:994-1005
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:The Journal of Engineering

Author:

Liu Tianze¹^ORCID,Liu Shusen¹^ORCID,Wang Shunjiang²^ORCID,Ma Yanjuan³⁴^ORCID

Affiliation:

1. State Grid Panjin Electric Power Supply Company State Grid Liaoning Electric Power Supply Co., Ltd. Panjin China

2. State Grid Liaoning Electric Power Supply Co., Ltd. Shenyang China

3. Key Laboratory of Regional Multi‐energy System Integration and Control of Liaoning Province Shenyang China

4. School of Renewable Energy Shenyang Institute of Engineering Shenyang China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/tje2.12186

Reference41 articles.

1. An analog ensemble for short-term probabilistic solar power forecast

2. Short-term power forecasting system for photovoltaic plants

3. A novel non-iterative correction method for short-term photovoltaic power forecasting

4. Short-Term Photovoltaic Power Output Prediction Based on k-Fold Cross-Validation and an Ensemble Model

5. Short Term Prediction of Photovoltaic Power Based on FCM and CG-DBN Combination

Cited by 3 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. High-precision concentration detection of CO₂ in flue gas based on BO-LSTM and variational mode decomposition;Measurement Science and Technology;2024-06-03

2. Short-term solar photovoltaic power forecasting using ensemble forecasting strategy for renewable resources based power systems;Engineering Research Express;2024-06-01

3. An Optimal Approach for PV Power Optimization Based on Neural Network;2023 IEEE/IAS 59th Industrial and Commercial Power Systems Technical Conference (I&CPS);2023-05-21

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