India is one of the world’s most promising wind energy markets, with more than 45 GW of installed wind power capacity. Yet, as the sector scales, one reality is becoming clear: megawatts on paper do not always translate to reliable megawatts on the grid.
Variability in wind patterns, turbine wear-and-tear, and grid integration challenges mean that capacity growth alone cannot guarantee dependable power. For businesses and industries relying on clean energy, this gap between potential and performance can disrupt operations and erode confidence in renewables.
The solution lies not in adding more turbines alone, but in making the turbines we already have smarter.
This is where digital intelligence is reshaping India’s wind energy story.
Digital Intelligence: From Data to Dependability
The integration of AI, IoT, digital twins, and advanced analytics is revolutionizing how wind farms are operated and maintained. These tools collect data and turn it into actionable intelligence.
Predictive Maintenance: Sensors embedded in gearboxes, bearings, and blades continuously monitor vibration, temperature, and noise levels. AI models analyse this data to forecast failures before they happen—cutting downtime and avoiding costly breakdowns.
Performance Optimization: Digital twins—virtual replicas of turbines—allow operators to simulate conditions, fine-tune pitch angles and yaw adjustments, and extract maximum output even under variable wind conditions continuously.
Grid Integration: Smart forecasting tools optimise scheduling and load balancing, increasing grid efficiency and integrate renewable energy more effectively.
Safety Enhancements: Automated control systems can stall or restart turbines during extreme weather events like cyclones, preventing catastrophic damage.
Industry research suggests that integrating digital intelligence across wind operations can meaningfully enhance generation efficiency and optimise O&M processes, delivering measurable performance and cost benefits across the asset lifecycle.
The digitalization of wind energy through data management and AI
Digitalisation Will Empower Wind Owner-operators In India; Can Solve Reliability Issues - WindInsider
Gentari’s Digital-First Approach to Wind O&M
At Gentari, we have always recognised that Operations and Maintenance (O&M) is fundamental to any kind of plant’s generation and longevity. Keeping this in mind, we developed our ML/AI-based in-house remote monitoring system — Hawk AI — nearly eight years ago. Through Hawk AI, we have been continuously monitoring and optimising plant performance, ensuring operational excellence across our sites nationwide.
Continuing our digital-first approach across the wind portfolio, we ensure our assets operate smarter, longer, and with greater efficiency.
At our on-site project in Sewagram — a hybrid of solar, wind, and BESS — we have implemented advanced O&M strategies spanning resource assessment to lifecycle management.
Specifically for the wind portfolio, we used:
Sensor-Driven Monitoring: Real-time data on temperature, gear vibrations, and ambient conditions enables early detection of anomalies.
Turbine Health Management: Long-term trend analysis, combined with drone-based blade inspections, helps generate EWS (Early Warning Signals) to spot cracks, rust, or abrasions early allowing repainting, retorquing, or structural reinforcements before failures occur.
Optimized Control Systems:
Turbine-Level Control: Anemometer data feeds directly into the pitch and yaw controllers, ensuring turbines extract maximum energy while maintaining grid compliance.
Supervisory Control: Wind SCADA (Supervisory Control and Dat Acquisition) coordinates with other supervisory systems, including BESS and solar, to optimize overall energy output across sources.
Grid Compliance and Power Quality: Digital data enables load balancing and power factor corrections, ensuring wind farms contribute high-quality, reliable power to the grid.
The result: higher generation yields, fewer outages, and longer turbine lifespans—all of which directly address the concerns of C&I customers seeking reliable renewable supply.
The Future: Wind Powered by Intelligence
As India races towards its 2030 target of 500 GW of renewable capacity, the question is not just how much wind we can install, but how effectively we can operate it. Digital intelligence will define this future.
For customers, it promises dependable, high-quality green energy.
For operators, it reduces costs and extends asset life.
For the nation, it accelerates the clean energy transition with confidence.
With digitalization transforming the wind energy sector, operational efficiency is no longer the only gain—it also strengthens India’s energy transition goals. By harnessing Digital Intelligence, the industry can boost competitiveness, minimize environmental impact, and accelerate progress toward a sustainable future.
In the decade ahead, wind power will be defined by intelligence, and efficiency.
At Gentari, we are embedding Digital Intelligence into every stage of wind operations—from resource assessment to turbine lifecycle management—reimagining what wind can deliver for India’s clean energy landscape and advancing the journey towards decarbonization.
Resources: India's wind energy capacity to hit 122 GW by 2032 amid policy boosts, ETEnergyworld