Informatization process of wind and solar resource power generation: Empirical abstraction and packing algorithm
<p>The development of software tools is critical to meeting the changing needs of the wind and solar resource generation industries. By identifying some of the limitations of existing systems, such as fragmentation in data query and plant management, as well as a lack of data resource manageme...
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Trends in Computer Science and Information Technology - Peertechz Publications,
2023-05-15.
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| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | peertech__10_17352_tcsit_000065 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Jialin Li & Peng Zhao |e author |
| 700 | 1 | 0 | |a Zongtao Yuan |e author |
| 700 | 1 | 0 | |a Yingchao Li |e author |
| 700 | 1 | 0 | |a Jing Zhang |e author |
| 245 | 0 | 0 | |a Informatization process of wind and solar resource power generation: Empirical abstraction and packing algorithm |
| 260 | |b Trends in Computer Science and Information Technology - Peertechz Publications, |c 2023-05-15. | ||
| 520 | |a <p>The development of software tools is critical to meeting the changing needs of the wind and solar resource generation industries. By identifying some of the limitations of existing systems, such as fragmentation in data query and plant management, as well as a lack of data resource management. In response to these issues, it is proposed to use a hybrid deep network model for simulation data to develop a management platform for wind and solar resource observation data. High-quality real-time measurement data and standardized data processing can be collected stably using these tools, which can significantly improve the development efficiency of landscape resource power generation projects and save development costs.</p> | ||
| 540 | |a Copyright © Jialin Li & Peng Zhao et al. | ||
| 546 | |a en | ||
| 655 | 7 | |a Short Communication |2 local | |
| 856 | 4 | 1 | |u https://doi.org/10.17352/tcsit.000065 |z Connect to this object online. |