pvOps: Improving Operational Assessments through Data Fusion

PV system reliability analyses often depend on production data to evaluate the system state. However, using this information alone leads to incomplete assessments, since contextual information about potential sources of data quality issues is lacking (e.g., missing data from offline communications vs. offline production). This paper introduces a new Python-based software capability (called pvOps) for fusing production data with readily available text-based maintenance information to improve reliability assessments. In addition to details about the package development process, the general capabilities to gain actionable insights using field data are presented through a case study. These findings highlight the significant potential for continued advancements in operational assessments.