Data analysis is helping solar power operators develop more efficient systems that optimize operations and deliver cost savings. Monitoring the performance of solar panels and other equipment, and identifying issues before they become problems, supports operations and maintenance (O&M) work, helps avoid unplanned downtime, and provides cost savings. AI and ML algorithms can identify patterns and anomalies that may indicate potential failures, allowing operators to take corrective action before issues occur. Data analytics can help solar energy businesses improve their asset management strategies, maximize an asset’s lifespan, cut repair and replacement costs, and support a goal of increased profitability.
