Avathon Autonomy
for Renewables
The Avathon Autonomy Platform leverages the power of AI to significantly reduce costs for green energy operators. Avathon is the only autonomous renewable energy management suite (REMS) that optimizes your operating plan through agentic management of your assets and supply chain.
Operating Plan
AI driven planning for your workforce, assets, and sites
Avathon turns the traditional operating plan into a living, AI-driven system through our Autonomy Platform, delivering immediate cost savings, efficiency, and improved asset performance. Using a computational knowledge graph to map assets, resources, schedules, and dependencies, the platform enables AI agents to anticipate maintenance needs, optimize parts and workforce deployment, and coordinate supply chain actions in real time. By connecting all these components into a unified, adaptive plan, operators can significantly reduce operational costs, minimize downtime, and maximize the revenue potential of renewable assets.
Renewables Asset Management
Avathon enables Renewables companies to move to dynamic, autonomous operating plans by ingesting complex industrial data and asset bills of material, unifying operational systems and teams, and deploying intelligent agents to drive real-time, AI-powered decisions.
Autonomy at Work
Asset Optimization
Maximize the revenue potential of renewable assets by predicting underperformance, optimizing market bids, and recommending interventions. Leveraging a computational knowledge graph to connect asset performance, operational dependencies, and market conditions enables smarter, faster decisions that increase energy capture and returns without additional capital investment.
Anomaly Detection and Predictive Analytics
ML models and machine vision analyze data across assets to forecast energy output, detect performance anomalies, and anticipate component failures. These predictive insights shift maintenance from reactive or scheduled approaches to a proactive model, helping operations run efficiently and reliably.
Prescriptive Maintenance
Once maintenance needs are identified, the Autonomy Platform recommends precise corrective actions, accounting for required parts, work orders, procedures, crew availability, and optimal downtime windows. This integrated approach ensures maintenance is executed efficiently, reduces operational disruption, and maximizes asset uptime.
Dynamic Work Scheduling
The Autonomy Platform intelligently generates and optimizes work orders, matching tasks with the right technicians, tools, and parts while optimizing routes and timing. AI agents adjust schedules in real time, ensuring resources are deployed effectively and work is completed with minimal disruption.
Safety and Security
Machine vision continuously monitors camera feeds, drones, and sensor data to detect potential hazards and security threats. Automated alerts enable proactive interventions to prevent accidents, provide rapid warnings for fires or dangerous conditions, and protect property—making safety and security a continuously managed function.
Compliance
Regulatory and contractual obligations are mapped within a computational knowledge graph, allowing the Autonomy Platform to automate data extraction, reporting, and workflow management. This ensures timely, accurate, and audit-ready compliance while reducing administrative burden and operational risk.
Renewables Supply Chain Management
Avathon gives renewable operators end-to-end visibility into suppliers, logistics, and regulatory impacts such as tariffs. By uniting asset management with advanced supply chain solutions, we enable companies to plan and adapt their supply chains dynamically—eliminating lagged insights and driving faster, smarter execution.
Global Trade Management
Navigating trade compliance and origin rules is critical for renewable supply chains. The Autonomy Platform automates customs classifications, duty drawbacks, and country-of-origin mapping across complex supplier networks. Using AI and a computational knowledge graph, it reduces costs while ensuring operators capture the full value of available tax credits and renewable energy incentives.
Spare Parts Management
Keeping renewable assets online requires having the right part at the right time. The Autonomy Platform provides forward visibility into cost impacts, projected consumption tied to power generation forecasts, lead times, supplier reliability, and trade factors. By aligning inventory with operational priorities, operators can minimize downtime, control costs, and de-risk supply chains across solar, wind, and storage assets.
Logistics
Building and managing renewable sites requires coordinating multi-modal assets and processes while navigating regulations across regions and countries. The Autonomy Platform uses AI and agents to dynamically optimize scheduling, model what-if scenarios, and maximize asset utilization. This autonomous orchestration reduces delays, mitigates compliance risk, and keeps projects on track.
Our Renewables Clients
- The autonomous renewable energy management suite (REMS) is deployed across 5.5 gigawatts of Ørsted’s onshore and offshore wind, solar, and storage assets in the U.S.
- Brings together different data sets ranging from SCADA, ERP, financial, data from third parties such as weather, forecast and many more into a single view that enhances efficiency and collaboration.
- Geronimo Power has deployed Autonomy 2+ GW of solar, onshore wind, battery energy storage systems (BESS), and hybrid projects.
- The partnership enables Geronimo Power to maximize energy production, streamline asset management workflows, and reduce maintenance costs across its growing renewable portfolio.
- Avathon and Primergy have partnered since 2023 to deploy Avathon’s AI-enabled asset management solutions across Primergy’s solar and storage projects.
- Autonomy can detect performance issues in real time, automate reporting and maintenance workflows, and optimize DC-coupled solar and storage assets during construction and operation.
- Provides a holistic operational view of projects and improved efficiency across 750 MW of storage assets
- Ingests millions of data points and detects anomalies and provides prescriptive recommendations
- Automates compliance management and tracks financial performance
Case Studies
Identify yaw misalignment
Learn how Avathon’s AI platform detects performance-impacting yaw misalignments with high accuracy—and faster than traditional methods. Discover why our machine learning-based solution is not only a much faster method, but a more accurate one.
Predict rare failures in hydro turbines
Learn how utility companies that operate hydro turbines have a vested interest in performing regular maintenance to decrease asset downtime and prevent unexpected failures or catastrophic events. In this case study, learn how one leading hydropower utility company applied machine learning to better analyze problematic turbine behavior and predict uncommon failures.
Improve grid reliability and resiliency using machine learning
Learn how to optimize actionable insights that drive operational efficiency and ensure grid reliability with an automated machine learning platform.
