Use Cases
Find insightful use cases written by the staff at Avathon.
Use case: Anticipate and mitigate safety hazards with NLP
Effective HSE management programs are not only critical for the health and well-being of employees, but also to ensure productivity and overall performance. Learn how Natural Language Processing (NLP) provides a solution that can extract actionable insights from unstructured data found in incident reports, observation cards, etc., identifying safety risks and minimizing incidents.
Use case: Improving grid reliability and resiliency using machine learning
Optimize actionable insights that drive operational efficiency on the grid with an automated machine learning platform. In this use case, analyze physical operations in real time and identify areas of improvement, uncover equipment, utilization, and capacity issues, and more.
Use case: Predicting pitch bearing failure with AI
In this use case, discover how Avathon minimizes costly turbine downtime by predicting pitch bearing failure remotely and accurately. Learn why traditional approaches for evaluating pitch-bearing wear and tear are inefficient, how AI optimizes repair scheduling, and more.
Use case: Automated power curve monitoring for optimal turbine performance
Learn how Avathon helps you identify underperforming turbines more quickly and cost-effectively—so you can maximize profitability. Discover how Avathon’s platform automatically detects performance issues for large numbers of turbines at once, and see why continually monitoring turbine performance with machine learning models is more efficient and accurate.
Use case: Maximize energy production by using AI to detect solar tracker misalignment
Solar tracking system misalignment leads to hidden energy losses. Current detection methods are imprecise or impractical. Avathon uses machine learning to analyze tracker actuator motor data and inverter DC inputs. Learn more about our AI-powered solution.
Use case: Increase solar energy production with AI-powered soiling detection
Soiling—the natural accumulation of dust, pollen, dirt, bird droppings, and other debris—reduces current global solar power production by at least 3-4% annually, creating multi-billion dollar revenue losses. Learn how Avathon leverages AI to restore photovoltaic performance, extend asset lifespan, and much more.
Use case: Maximize solar power production using AI to detect DC field faults
On large solar sites with thousands of panels, fuses, and strings in a DC array, the task of finding and fixing DC faults becomes especially challenging and costly. An AI-powered solution not only pinpoints where failures have occurred through real-time monitoring and analysis, it also quantifies the resulting energy loss from each occurrence. Learn how.
Use case: BESS optimization with AI-powered asset performance management
Battery Energy Storage Systems (BESS) assets are critical enablers of reliable renewable energy, but optimizing their performance requires advanced monitoring and predictive analytics. Avathon Industrial AI for Renewables is an asset performance management (APM) solution that leverages artificial intelligence to detect anomalies and recommend maintenance actions for BESS owners and operators.
Use case: Preventing forklift accidents with visual AI
Forklift incidents are costly, and far too common, with 7,290 accidents in 2020 alone, resulting in a median of 17 lost days of work per incident. Learn how HSE managers can reduce forklift incidents by creating a system of improvement that starts with Avathon Visual AI Advisor
