Typical application scenarios of rural energy internet platform

Li, Peng; Tong, Zihao; Li, Huixuan; Xie, Anbang; Zheng, Yi; Zhang, Yihan

doi:10.1109/acpee51499.2021.9436826

Cited by 3 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since 2018, the State Grid Corporation of China has been promoting the pilot construction of rural energy internet and has achieved certain results [31]. In 2021, Peng et al studied the typical scenario and business model of AEI [32]. The AEI stands out for its ability to combine various energy sources, such as energy agriculture, agricultural production energy consumption, and carbon-rich agriculture.…”

Section: Refs Publication Yearsmentioning

confidence: 99%

See 1 more Smart Citation

A review on basic theory and technology of agricultural energy internet

Zhang,

Fu,

Xue

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

In the context of modern agricultural production mode and domestic energy consumption, profound changes have taken place in agricultural and rural energy consumption, resulting in the demand for new technology development in various sectors of source, network, and load in rural energy systems. Agricultural energy internet (AEI) has promoted the development of renewable energy and agricultural electrification in villages. The construction of the AEI is crucial for achieving the synergistic development of agriculture, energy, and environment. The basic theory and key technologies of AEI are investigated and the prospects for the direction of agricultural energy technology are conducted. The research investigation shows that the AEI framework proposed by China Agricultural University is of great significance for realizing agricultural electrification and reducing agricultural carbon emissions. The article describes in detail the key data and characteristics of agricultural electrification loads. Digital twin technology and virtual power plant technology will be crucial to the construction of advanced AEI.

show abstract

Section: Refs Publication Yearsmentioning

confidence: 99%

“…In 2021, Peng et al. studied the typical scenario and business model of AEI [32]. The AEI stands out for its ability to combine various energy sources, such as energy agriculture, agricultural production energy consumption, and carbon‐rich agriculture.…”

Section: Theory Of Aeimentioning

confidence: 99%

A review on basic theory and technology of agricultural energy internet

Zhang,

Fu,

Xue

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

Key technologies and applications of rural energy internet in China

Long

Kong

et al. 2024

Information Processing in Agriculture

View full text Add to dashboard Cite

Review and outlook on reinforcement learning: Its application in agricultural energy internet

Fu,

Zhang,

Bai

et al. 2024

IET Renewable Power Gen

View full text Add to dashboard Cite

Agricultural Energy Internet (AEI), representing a key evolutionary direction in the integrated energy landscape of rural regions, holds a vital position in advancing the electrification of agricultural sectors. However, the disjointed control between agricultural loads and grid operations hinders the collaborative development of agriculture and energy. Addressing these issues, this paper investigates the current applications of artificial intelligence in the fields of agriculture and energy. The authors examine the evolutionary path of AEI, particularly emphasizing the critical technologies emerging from the intersection of agriculture, energy, and digital networks. Furthermore, the authors examine the critical technologies of reinforcement learning in the context of smart grid applications. In response to the challenges posed by low energy efficiency in rural areas, a reinforcement learning framework is proposed for coordinating fisheries, agriculture, livestock farming, and rural distribution networks. This framework provides a clear pathway for the application of reinforcement learning in AEI. This research acts as a conduit, merging agricultural and energy domains to promote a cohesive progression that markedly aids in the enhancement of rural electrification and the adoption of sustainable energy methodologies through reinforcement learning.

show abstract

Typical application scenarios of rural energy internet platform

Cited by 3 publications

References 4 publications

A review on basic theory and technology of agricultural energy internet

A review on basic theory and technology of agricultural energy internet

Key technologies and applications of rural energy internet in China

Review and outlook on reinforcement learning: Its application in agricultural energy internet

Contact Info

Product

Resources

About