Artificial intelligence empowerment in China’s energy landscape: enhancing power grid investment efficiency

Against the backdrop of China’s initiative to construct a new power system focusing on new energy, optimizing power grid investment holds significant importance. This study aims to investigate whether the application of artificial intelligence (AI) contributes to power grid investment efficiency. By considering diverse factors, power grid investment efficiency in China is assessed by using a Slack-based measure model. Then we analyze the relationship between AI and power grid investment efficiency, as well as their nonlinear threshold effect. We find a notable increase in China’s power grid investment efficiency, accompanied by evident regional differences. In addition, the utilization of AI exerts a significantly positive effect on power grid investment efficiency. Particularly, such a promoting effect is more pronounced in the China Southern Power Grid cohort and remains significant during the 12th Five-Year Plan period. Moreover, grid investment exhibits a double-threshold effect, and it diminishes the contributing effect of AI on power grid investment efficiency. AI shows a single threshold effect on power grid investment efficiency as electricity sales increase, and the positive impact manifests only when electricity sales surpass a specific threshold. These insights are important for the strategic deployment of power grid projects through using AI.

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Publication Details

Journal
Frontiers in Energy Research
Published
2024-09-16
DOI
https://doi.org/10.3389/fenrg.2024.1441540
Citations
1
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.21
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Artificial intelligence empowerment in China’s energy landscape: enhancing power grid investment efficiency

Tongyan Zhang, Ming Zhou, Qiang Wu, Li Ma et al.
1 citations
Frontiers in Energy Research
Energy Load and Power Forecasting
0.21
article

Artificial intelligence empowerment in China’s energy landscape: enhancing power grid investment efficiency

Tongyan Zhang, Ming Zhou, Qiang Wu, Li Ma, Yingbo Zhou, Liping Sun
article en
1 citations

Abstract

Against the backdrop of China’s initiative to construct a new power system focusing on new energy, optimizing power grid investment holds significant importance. This study aims to investigate whether the application of artificial intelligence (AI) contributes to power grid investment efficiency. By considering diverse factors, power grid investment efficiency in China is assessed by using a Slack-based measure model. Then we analyze the relationship between AI and power grid investment efficiency, as well as their nonlinear threshold effect. We find a notable increase in China’s power grid investment efficiency, accompanied by evident regional differences. In addition, the utilization of AI exerts a significantly positive effect on power grid investment efficiency. Particularly, such a promoting effect is more pronounced in the China Southern Power Grid cohort and remains significant during the 12th Five-Year Plan period. Moreover, grid investment exhibits a double-threshold effect, and it diminishes the contributing effect of AI on power grid investment efficiency. AI shows a single threshold effect on power grid investment efficiency as electricity sales increase, and the positive impact manifests only when electricity sales surpass a specific threshold. These insights are important for the strategic deployment of power grid projects through using AI.

Frontiers in Energy ResearchVol. 12
State Grid Corporation of China (China) (CN), Economic Research Institute (BG), Economic Research Institute (KZ)
Openalex Percentile: Top 48%
Energy Load and Power Forecasting
0.21
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Artificial intelligence empowerment in China’s energy landscape: enhancing power grid investment efficiency — Tongyan Zhang, Ming Zhou, et al. · Frontiers in Energy Research (2024) | TGRS Research Map | TGRS