Artificial intelligence-based photovoltaic error evaluation method and system
By analyzing and performing error analysis on real-time photovoltaic data, and using a CNN model to generate photovoltaic error assessment results, the problem of inaccurate error assessment in photovoltaic error analysis by artificial intelligence is solved, and the accuracy and reliability of error assessment are achieved.
CN115345437BActive Publication Date: 2026-07-03SHANGHAI DATACENT SCI CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI DATACENT SCI CO LTD
- Filing Date
- 2022-07-21
- Publication Date
- 2026-07-03
Smart Images
Figure CN115345437B_ABST
Abstract
The photovoltaic error assessment method and system based on artificial intelligence provided in this application can determine the accurate damage status of the target photovoltaic damage data based on the time and node where the target photovoltaic damage data occurs in real-time photovoltaic data, and at least one of the error assessment results of the target photovoltaic damage data meeting a set condition. This enables the reliable generation of photovoltaic error damage results, thereby effectively improving the credibility of the photovoltaic error damage results.
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