Decision-making through data
According to a study conducted by Massachusetts Institute of Technology, companies that use data-driven decision-making are 5% more productive and profitable than their competitors. Jean-Yves Bellet, cofounder and VP-CTO of QOS Energy asks,“Can we apply the results of this study to solar PV operations and maintenance?” Today, solar plant owners expect to generate value from their data using real-time decision-making tools, analytics, and machine learning models.
The operations and maintenance (O&M) of solar PV plants has evolved greatly in recent years, to become both more professional and more effective. The industry widely recognizes the essen- tial role played by quality O&M services in ensuring the long-term, sustainable per- formance of solar power plants, improv- ing their levelized cost of energy (LCOE) …
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