Abstract

    Open Access Short Communication Article ID: TCSIT-8-165

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

    Jialin Li & Peng Zhao, Zongtao Yuan, Yingchao Li and Jing Zhang*

    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.

    Keywords:

    Published on: May 15, 2023 Pages: 23-28

    Full Text PDF Full Text HTML DOI: 10.17352/tcsit.000065
    CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat

    Indexing/Archiving

    Pinterest on TCSIT