| Judul | Application of Swarm Intelligence for Multi-Energy Virtual Power Plants / Edited by: Yang Gao; Xiao Hu; Sheng Chen |
| Pengarang | Gao, Yang Hu, Xiao Chen,Sheng |
| EDISI | - |
| Penerbitan | Basel : MDPI, 2026 |
| Deskripsi Fisik | 200p. :ill. |
| ISBN | 978-3-7258-8692-0 |
| Subjek | ELECTRIC POWER SYSTEMS - CONTROL |
| Catatan | With the increasing couplings between electricity, gas, thermal, and other energy vectors, traditional independent energy systems are evolving into a comprehensive energy system. From this aspect, single-energy traditional power plants are gradually developing into multi-energy virtual power plants, which are more dispersed in space and time dimensions. The complex interactions between various subjects and the autonomous behaviors of users bring significant challenges to the virtual power plant control. The scale, volume and categories of operation data also increase significantly. Swarm intelligence originates from the observation and research of social creatures and human social behavior. Because of its advantages of flexibility and robustness, it is one of the intelligent forms that the new generation of artificial intelligence focuses on. The control concept of swarm intelligence adopts the idea of "weak centralization", which has the advantages of self-organization, efficient collaboration, and self-lear |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://www.mdpi.com/books/reprint/13412-application-of-swarm-intelligence-for-multi-energy-virtual-power-plants |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 374326192 | 621.31 App | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 245 | # | # | $a Application of Swarm Intelligence for Multi-Energy Virtual Power Plants /$c Edited by: Yang Gao; Xiao Hu; Sheng Chen |
| 250 | # | # | $a - |
| 260 | # | # | $a Basel :$b MDPI,$c 2026 |
| 300 | # | # | $a 200p. : $b ill. |
| 505 | # | # | $a With the increasing couplings between electricity, gas, thermal, and other energy vectors, traditional independent energy systems are evolving into a comprehensive energy system. From this aspect, single-energy traditional power plants are gradually developing into multi-energy virtual power plants, which are more dispersed in space and time dimensions. The complex interactions between various subjects and the autonomous behaviors of users bring significant challenges to the virtual power plant control. The scale, volume and categories of operation data also increase significantly. Swarm intelligence originates from the observation and research of social creatures and human social behavior. Because of its advantages of flexibility and robustness, it is one of the intelligent forms that the new generation of artificial intelligence focuses on. The control concept of swarm intelligence adopts the idea of "weak centralization", which has the advantages of self-organization, efficient collaboration, and self-learning. There are many distributed devices with strong nonlinearity and multiple coupling variables in the system, which have natural adaptability and compatibility with swarm intelligence. Multi-agent technology is a collection of multiple agents, and its goal is to divide a large and complex system into various small systems that can communicate and coordinate with each other. It is very suitable for the application of swarm intelligence. |
| 650 | # | # | $a ELECTRIC POWER SYSTEMS - CONTROL |
| 700 | 1 | # | $a Chen,Sheng |
| 700 | 1 | # | $a Gao, Yang |
| 700 | 1 | # | $a Hu, Xiao |
| 856 | # | # | $a https://www.mdpi.com/books/reprint/13412-application-of-swarm-intelligence-for-multi-energy-virtual-power-plants |
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