Opinion on enhancing diversity in photovoltaic scenario generation using weather data simulating by style-based generative adversarial networks-Reference-Cited by-同舟云学术

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Opinion on enhancing diversity in photovoltaic scenario generation using weather data simulating by style-based generative adversarial networks

Published:2024-05-21 Issue: Volume:12 Page:
ISSN:2296-598X
Container-title:Frontiers in Energy Research
language:
Short-container-title:Front. Energy Res.

Author:

Deng Jianbin,Zhang Jing

Publisher

Frontiers Media SA

Reference23 articles.

1. Two-tier coordinated optimal scheduling of wind/PV/hydropower and storage systems based on generative adversarial network scene generation;Cai;Front. Energy Res.,2023

2. Agri-energy-environment synergy-based distributed energy planning in rural areas;Fu;IEEE Trans. Smart Grid,2024

3. Collaborative optimization of PV greenhouses and clean energy systems in rural areas;Fu;IEEE Trans. Sustain. Energy,2023

4. Comparative analysis of eight numerical methods using Weibull distribution to estimate wind power density for coastal areas in Pakistan;Hussain;Energies,2023

5. Analyzing and improving the image quality of StyleGAN;Karras,2020

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