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

Deng, Jianbin; Zhang, Jing

doi:10.3389/fenrg.2024.1402840

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Preprint1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A method for optimizing the capacity allocation of a photovoltaic-pumped hydro storage system in an abandoned coal mine

Cao,

Jiang,

Yang

et al. 2024

Heliyon

View full text Add to dashboard Cite

A method for optimizing the capacity allocation of a photovoltaic-pumped hydro storage system in an abandoned coal mine

Cao,

Jiang,

Yang

et al. 2024

Heliyon

View full text Add to dashboard Cite

" Solar energy radiation predication based in regional satellite images and data"

Attya,

Abo-Seida,

Abdulkader

et al. 2024

Preprint

View full text Add to dashboard Cite

Accurate solar radiation prediction is crucial for optimizing solar energy systems. There are two types of data can be used to predict the solar radiation such as the satellite images and the tabular satellite data. This research aims to create a more comprehensive picture of the factors influencing solar radiation. This research presents a hybrid methodology to predict the solar radiation from both satellite images and satellite data. The methodology basis on two datasets; the first data set contains tabular data, and the second dataset contains satellite images. The framework divides into two paths; the first path take the input as the satellite images; this stages contains three steps; the first step is removing noise using latent diffusion model, the second step is about pixel imputation using a modified RF + Identity GAN (this model contains two modification the first modification is adding the identity block to solve mode collapse problem in the GANs and the second modification is to add the 8-connected pixel to generate a value of missing pixel near to the real missed pixel. The third step in the first path is about using the self-organizing map to identify the special informative in the satellite image. The second path take the input as tabular data and use the diffusion model to impute the missing data in the tabulated data. Finally, we merge the two path and use feature selection to be as input for the LSTM for solar radiation predictions. The experiments done prove the efficiency of the used stage such as missing pixel imputation, removing noise, missing data imputation and prediction using LSTM when compared with other available techniques. The experiments also prove the enhancement of all prediction model after adding two paths before the prediction step.

show abstract

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

Cited by 2 publications

References 19 publications

A method for optimizing the capacity allocation of a photovoltaic-pumped hydro storage system in an abandoned coal mine

A method for optimizing the capacity allocation of a photovoltaic-pumped hydro storage system in an abandoned coal mine

" Solar energy radiation predication based in regional satellite images and data"

Contact Info

Product

Resources

About