Data is crucial for making informed decisions regarding the O&M of a solar plant. On average, however, up to 20% of pre-analytics data is missing or inaccurate, which only leads to missing or inaccurate knowledge of a plant’s performance. Led by data scientists, this webinar identified common data quality issues felt by asset management teams and presented possible solutions, including SmartHelio’s wholistic approach to data sanitization.
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