retina360
Unlock ROI
Ahead of Business Plans
Why you need retina360?
In a world shifting to clean energy, success hinges on efficiency. Every watt matters. Imagine a platform that goes beyond monitoring—one that truly understands your assets. With retina360, transform raw data into intelligence, and operations into optimization.
retina360 is an AI-powered IoT analytics platform delivering a 360° view of renewable energy assets—
detecting anomalies, forecasting failures, and maximizing yield by minimizing downtime and optimizing performance.
Solving Operations and Maintenance (O&M) Challenges in The Renewable Energy Sector
%
Yield improvement
%
Unplanned downtime reduction
%
Predictive maintenance
The platform is meticulously designed to collect, analyze data, and provide alerts and recommendationsto O&M teams, so they can effectively improve asset availability and reduce downtime.
Predictive Maintenance, Powered by AI Analsyis
Empower your team to make faster, smarter decisions and ensure seamless, efficient operations
with intelligent fault detection proactive alerts, and enabling predictive maintenance.
Leverage retina360’s AI-driven domain models tailored for the renewable energy sector. Gain real time visibility, uncover inefficiencies, receive predictive recommendations, and access actionable insights—anytime, anywhere.
Some of the frequent use case recommendations are:
Curtailment Analysis
Generator Failure
Yaw Analysis
Pitch Motor Failure
Pitch Deviation Analysis
Main Bearing Failure
Degradation
Soiling
Gearbox Failure
Derating
retina360 AI-ML Platform – Architecture
retina360 Key Capabilities for Wind
Yaw misalignment
Optimized Nacelle position for improved turbine performance and efficiency
Power curve analysis
Optimizing wind turbine performance and efficiency
Predictive Analysis
Failure prediction of equipment
Forewarning of component failures
Predictive alerts for proactive maintenance initiation
Long-term degradation
Enhancing turbine performance over time
Loss Analysis
Waterfall analysis for different loss category
Energy forecasting
Predictive modeling for accurate energy production forecasts
Condition monitoring system
Real-time monitoring for condition-based maintenance
retina360 Key Capabilities for Solar
Portfolio monitoring
Monitoring KPI performance, health, and status across solar asset portfolios
PR/Inv efficiency
Analysis to improve the solar park performance
Panel cleaning
Tailored recommendations for cleaning solar panels to maximize asset performance
Loss accounting
Comprehensive evaluation
and accounting of performance losses in solar assets
Performance degradation alerts
Automated alerts to indicate decline in performance of solar asset for timely intervention
Drone survey
For construction progress monitoring and hot spots detection
Case in Point – Centralized Monitoring, Analytics for a Power Gen Company
Customer
A multinational power generation company
Total renewable capacity
1.8 GW
No. of turbines
482 turbines
Low plant performance:
Addressing issues related to the underperformance of the wind energy plant
Stakeholder expectations:
Meeting the expectations of all stakeholders involved in the wind energy project
Meeting business targets:
Ensuring that the project aligns with and achieves its predetermined business objectives and targets
Energy loss categorization:
Implementing a system to categorize and analyze energy losses within the wind energy project
Asset watch list with failure predictions:
Developing a watch list of assets and predicting potential failures to facilitate proactive maintenance
Custom dashboards:
Creating personalized dashboards tailored to specific project needs for improved data visualization and analysis
Speak with an expert
Contact us for retina360 consultation