Abstract
To meet the demand for accuracy and real-time capability of PV system degradation evaluation, massive volume data is needed to run high-fidelity and high-efficiency simulations and perform advanced data analysis. However, PV farm operators have a series of difficulties with PV inverter data, such as data collection from multiple channels, massive data storage, data management and massive data analysis. To address these challenges, we developed an integrated data management platform capable of data acquisition, processing, storage, query, and performing big data analysis utilizing AI algorithms. The platform can also achieve data correctness verification and provide an effective distributed data management solution to retrieve massive data and establish a connection to distributed computational frameworks.
Original language | American English |
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Number of pages | 5 |
DOIs | |
State | Published - 2023 |
Event | 50th IEEE Photovoltaic Specialists Conference - San Juan, Puerto Rico Duration: 11 Jun 2023 → 16 Jun 2023 |
Conference
Conference | 50th IEEE Photovoltaic Specialists Conference |
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City | San Juan, Puerto Rico |
Period | 11/06/23 → 16/06/23 |
Bibliographical note
See NREL/CP-5D00-86672 for preprintNREL Publication Number
- NREL/CP-5D00-88902
Keywords
- data management platform
- distributed computing
- field reliability data
- PV inverter