Research on Ultra-Short-Term Photovoltaic Power Forecasting Method Considering Complex Meteorological Factors DOI

Gean Cui,

Xudong Li, Siyuan Wang

et al.

Published: Dec. 6, 2024

Language: Английский

Impact of photovoltaic power generation on poverty alleviation in Jiangsu, China DOI
Wenbo Li, Jiaxin Huang, Lingjing Kong

et al.

Journal of Renewable and Sustainable Energy, Journal Year: 2024, Volume and Issue: 16(4)

Published: July 1, 2024

The photovoltaic poverty alleviation project, part of the “Ten Major Precise Poverty Alleviation Projects” implemented by Office State Council, significantly contributes to eradicating and rural revitalization. A difference-in-differences model was utilized in this study assess project's impact on households. This analysis used tracking data from households both with equipment installed without “S Town,” Jiangsu Province, 2017 2021. results indicate that installations lead an increase per capita disposable income, hence reducing poverty. However, further suggests better health work capacity disadvantaged correlate lesser benefits project terms income. policy implications these findings include a necessity for developing innovative models sector enhance conditions farmers, their dependence government subsidies.

Language: Английский

Citations

1
TCN-GRU Based on Attention Mechanism for Solar Irradiance Prediction DOI Creative Commons

Zhi Rao,

Zaimin Yang,

Xiongping Yang

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5767 - 5767

Published: Nov. 18, 2024

The global horizontal irradiance (GHI) is the most important metric for evaluating solar resources. accurate prediction of GHI great significance effectively assessing energy resources and selecting photovoltaic power stations. Considering time series nature monitoring sites dispersed over different latitudes, longitudes, altitudes, this study proposes a model combining deep neural networks convolutional multi-step GHI. utilizes parallel temporal gate recurrent unit attention prediction, final result obtained by multilayer perceptron. results show that, compared to second-ranked algorithm, proposed improves evaluation metrics mean absolute error, percentage root square error 24.4%, 33.33%, 24.3%, respectively.

Language: Английский

Citations

1
A performance prediction model of variable frequency air source heat pump used for photovoltaic power generation scheduling in low-carbon buildings DOI
Wei Wang,

Yang Tan,

Wenzhe Wei

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121960 - 121960

Published: Nov. 1, 2024

Language: Английский

Citations

1
Ultra-Short-Term Photovoltaic Power Prediction Considering the Influence of Complex Meteorological Factors in the Desert, Gobi and Barren DOI
Xinyu Chen, Guangzheng Yu,

Rusi Chen

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0
Research on Ultra-Short-Term Photovoltaic Power Forecasting Method Considering Complex Meteorological Factors DOI

Gean Cui,

Xudong Li, Siyuan Wang

et al.

Published: Dec. 6, 2024

Language: Английский

Citations

0