across industries. Predictive maintenance is one tool that helps build a reliable renewable energy infrastructure. With the help of artificial intelligence , predictive maintenance can open new doors to making renewable energy management more efficient.AI-powered predictive maintenance is an advanced technological approach that uses artificial intelligence to predict and prevent equipment failures within an infrastructure before they occur.
AI can provide valuable support for drones and stationary cameras that capture thermal imaging of solar panels. It can identify hotspots on solar panels, which typically indicate malfunctioning cells or connectors. AI canMachine learning models are helpful in power output analysis in solar panels. They can compare the expected power output with the actual one and point out unusual deviations from the expected performance.
Structural health monitoring systems assess the integrity of dams and other hydropower infrastructure. AI algorithms can use the data to identify potential weaknesses or failures in the structure, enabling proactive maintenance and repairs and efficient operation and maintenance cost allocation. AI models can analyze batteries' charge and discharge cycles to predict their remaining useful life and identify cells deteriorating faster than expected. In this way, they help plan battery replacements and avoid unexpected downtime.