Informatization process of wind and solar resource power generation: Empirical abstraction and packing algorithm

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Trends in Computer Science and Information Technology volume8-issue2 articles
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Submitted: May 1, 2023
Published: May 15, 2023
DOI: 10.17352/tcsit.000065
Keywords:
Wind and solar resource generation industry, Observation data management platform, Software tool of wind turbine arrangement, A hybrid deep network model for simulation data

Main Article Content

Jialin Li
Beijing RETEC IT Technology Co., Ltd., Beijing 100079, China
Peng Zhao
State Power Investment Corporation Research Institute. Beijing 102209, China
Zongtao Yuan
Beijing RETEC IT Technology Co., Ltd., Beijing 100079, China
Yingchao Li
Beijing RETEC IT Technology Co., Ltd., Beijing 100079, China
Jing Zhang*
Beijing RETEC New Energy Technology Co., Ltd., Beijing 100079, China

Abstract

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.

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Article Details

Li, J., Zhao, P., Yuan, Z., Li, Y., & Zhang, J. (2023). Informatization process of wind and solar resource power generation: Empirical abstraction and packing algorithm. Trends in Computer Science and Information Technology, 8(2), 023–028. https://doi.org/10.17352/tcsit.000065
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Copyright (c) 2023 Li J, et al.

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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