Short-term photovoltaic power prediction based on coyote algorithm optimized long-short-term memory network-Reference-Cited by-同舟云学术

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Short-term photovoltaic power prediction based on coyote algorithm optimized long-short-term memory network

Published:2024-01-19 Issue: Volume:5 Page:707-711
ISSN:
Container-title:2024 International Conference on Power Electronics and Artificial Intelligence
language:
Short-container-title:

Author:

Mai Jinjin¹^ORCID,Zhang Xiaohong¹^ORCID

Affiliation:

1. Shanghai Dianji University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674225.3674353

Reference15 articles.

1. The Multi-Facets of Increasing the Renewable Energy Integration in Power Systems;Nadia S S G G;Energies,2022

2. Analysis Related to linfluence of Large-scale Photovoltaic e Electric Power Generation on Electric Power Systems;Zhang Y.;Rural Electrification,2021

3. Photovoltaic Power Prediction Based on VMD-BRNN-TSP

4. Huang Z. Dai Y Q. 2023. An improved coyote optimization algorithm. Computer and Digital Engineering 2246-2250+2256.

5. Low-voltage prediction in distribution substation area based on LSTM-BP combined model;Zhou Y J;Journal of Electric Power Science and Technology,2023

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