Unlocking Renewable Energy Performance with AI-Driven Asset Management

As renewable energy portfolios scale and diversify, operators face growing challenges in optimizing asset performance while reducing operations and maintenance (O&M) costs. In this session, we explore how AI and automation are transforming asset management—focusing on reliability strategies, GenAI-driven work order management, visual inspection, field service management (FSM), and asset performance management (APM) for renewables.
Join us as we showcase how IBM Maximo—a global leader in enterprise asset management—and Maximo for Renewables, an APM solution tailored for wind, solar, and battery storage assets, are revolutionizing maintenance strategies. Maximo for Renewables provides a 360-degree, near real-time view of asset health across solar, wind, and battery portfolios, enabling operators to identify and resolve issues quickly.
By leveraging AI-based analytics, operators can pinpoint the root causes of underperformance and automatically generate work orders to restore optimal generation. Maximo’s GenAI-powered work order intelligence detects failure codes and recommends corrective actions. Meanwhile, advanced visual inspection technologies support near real-time condition monitoring and anomaly detection, and integrated FSM and mobile applications empower field teams with instant access to actionable data and remote decision-making capabilities.
This session will highlight practical use cases demonstrating how these intelligent solutions streamline workflows, reduce unplanned downtime, and lower O&M costs—delivering measurable improvements in asset reliability and performance. Whether you're managing wind farms, solar arrays, battery energy storage systems, or hybrid assets, discover how the convergence of AI, automation, and mobile-first solutions is setting a new standard in sustainable asset management.