Introduction—Renewables are on a strong growth trajectory
In March of 2025, fossil fuel electricity generation in the US fell below 50% for the first time, propelled by rapid growth in the renewable sector. Renewable generation is on track to deliver nearly half of global electricity demand by the end of this decade according to the latest report from the International Energy Agency (IEA), this despite the vagaries of politics, subsidies, and manufacturing economics. Despite these potential headwinds, owner/operators need to invest in advanced technology like artificial intelligence (AI) to mitigate these challenges and maximize the utilization of their existing asset bases.
Photovoltaic (PV) alone will account for nearly 80% of the global growth in renewable capacity by the end of 2030 due to the construction of new large solar plants and an increase in rooftop solar panels by companies and households. In addition, despite ongoing political and economic challenges, wind power is also poised for a recovery, with the rate of expansion expected to double between 2024 and 2030. With wind and solar PV now the cheapest generation forms available, new renewable electricity generation and battery storage assets will grow rapidly in almost every country.
“Renewables are moving faster than national governments can set targets for,” said Executive Director Fatih Birol in the IEA report. “This is mainly driven not just by efforts to lower emissions or boost energy security—It’s increasingly because renewables today offer the cheapest option to add new power plants in almost all countries around the world.”
Rapid growth demands reliable and efficient operations
The rapid growth of renewable generation presents two key challenges:
- Accelerating Complexity: A geographically distributed and technologically diverse portfolio of assets (solar panels, wind turbines, batteries) generates a flood of performance data.
- The Data Silo Problem: Critical operational data is often isolated in legacy systems and proprietary databases (SCADA, etc.) creating fragmented workflows, delaying performance improvement actions, and preventing a unified view of performance.
An effective solution must not only make use of all available performance data to deliver actionable solutions but also integrate well with the existing data infrastructure.
The Avathon Autonomous AI platform is a comprehensive, integrated capability set
The Avathon Autonomous AI Platform is an end-to-end performance optimization solution that integrates seamlessly with existing data systems. The platform is designed to take intelligent automated action without human intervention, resulting in a new approach to dynamic operational performance management.
- Autonomous Asset Management: The Autonomous AI Platform connects directly to existing data sources—including SCADA, IoT sensors, weather data, and market signals—to construct a comprehensive, real-time digital twin of each asset. The platform then optimizes asset performance in real time, taking intelligent action to predict and identify performance anomalies and provide specific actions or dynamic dispatch adjustments to capture market opportunities and maximize profitability.
- Intelligent Work Orchestration: The Autonomous AI Platform’s core differentiator is its ability to take intelligent, automated actions, working as conductor for the entire operational infrastructure. The platform predicts component failures, automatically generates work orders, creates and error-checks invoices, and intelligently schedules and dispatches maintenance personnel.
- Hyper-accurate Forecasting: Provides precise forecasts of energy output and maintenance needs, enabling strategic planning and reducing revenue volatility. The platform ensures rapid deployment and immediate value for asset operators, capitalizing on favorable policy environments and accelerating the global energy transition.
Worker Health, Safety, and Security Management: Generates automated alerts that prevent workplace accidents, provide fire warnings or alerts to dangerous conditions, and eliminate property theft/damage. - Automated Processes and Compliance: The platform eliminates bottlenecks by automating routine tasks, e.g., generating invoices and compliance reports and initiating troubleshooting protocols. Contract management and compliance tasks are automated to ensure timely action, preventing penalties for non-compliance. Invoice generation and reporting are integrated with production and market data.
The benefits of dynamic AI-powered autonomous operations are immense
Avathon’s Autonomous AI Platform delivers tangible, measurable benefits across the entire lifecycle of your renewable energy portfolio.
Revenue Enhancement—By ensuring assets are always performing optimally, the platform maximizes the amount of energy generated and sold. Accurately forecasting energy prices and grid conditions enables autonomous, profit-maximizing decisions on when to sell energy or adjust output. The platform helps asset operators avoid costly grid-related penalties by intelligently matching output to demand forecasts. And by automating invoicing processes and checking for errors and processing efficiency, the platform ensures timely payments and revenue realization.
Operational Efficiency—The platform eliminates bottlenecks by automating routine processes, freeing up human operators to focus on more complex, strategic initiatives. By predicting failures before they occur and automatically scheduling maintenance and parts availability, the platform greatly reduces unplanned downtime. Finally, the system streamlines operational workflows, from automated fault detection to work order completion, ensuring a seamless and efficient process.
Cost Reduction—Autonomous scheduling and predictive maintenance reduce the cost of repairs and inspections, ensuring maintenance teams are deployed when and where they are needed, with the right parts and tools. Integrated predictive maintenance planning allows multiple tasks to be completed simultaneously, saving money on unnecessary crane callouts and other redundant expenses. Automated invoicing, inventory management, and other routine administrative tasks free up workers and improve process performance. Accurately forecasting spare parts consumption optimizes inventory levels, reducing carrying costs and ensuring critical components are always in stock.
“The renewable energy industry is at a critical inflection point,” says Avathon CEO Pervinder Johar. “Our Autonomous AI Platform is a fully automated intelligent system that makes real-time decisions, transforming how assets are managed from the ground up. We believe that the future of clean energy is autonomous. Our platform is not only a technological breakthrough but also a critical tool for building a more resilient, efficient, and profitable energy infrastructure.”
Conclusion—The key to renewable portfolio performance is autonomous action
The greatest challenge to achieving high levels of renewable generation asset performance is ensuring that the actions taken to maintain assets are timely and accurate. Companies need to integrate data from all their available renewable assets and apply AI-powered capabilities like the Avathon Autonomous AI Platform to ensure value-creating outcomes. With the right industrial AI provider, renewable generation operators can scale their performance management activities across a large, diverse portfolio of assets, giving managers the information they need to make timely and accurate decisions.
With the accelerating global growth rate of renewables, the relationship between AI and operational performance is growing in importance with each passing year. As the world’s energy needs continue to grow, leveraging the power of AI will be key to ensuring that the planet’s future energy needs are met in a sustainable and economic manner.
Learn more about how Avathon’s Autonomous AI Platform for Renewables can improve your operational performance and lead to greater reliability and profitability.
