The renewable energy sector is growing at an unprecedented rate, with more and more countries committing to achieving net-zero emissions by 2050. However, with this growth comes the challenge of maintaining the infrastructure that supports renewable energy generation. Predictive maintenance is becoming increasingly important in ensuring the reliability and efficiency of renewable energy infrastructure, and artificial intelligence (AI) is playing a crucial role in this process.
Predictive maintenance involves using data to predict when maintenance is required, rather than waiting for equipment to fail. This approach has several advantages, including reducing downtime, extending the lifespan of equipment, and improving safety.