Wind power drives the future of clean energy. But operations and maintenance can consume up to a quarter of the total cost of electricity. NISHRAM Nrgy AI is built to change that.
Our platform helps renewable energy operators anticipate equipment failures, cut downtime, and optimize performance across wind farms — so you can focus on generating clean energy, not fighting fires.
Unplanned failures drain budgets and put technicians at risk. Nrgy AI offers a smarter way forward — by analyzing turbine data in real time, we help you predict issues early and act before failures happen.
A single gearbox failure can run into hundreds of thousands when crane hire, labor, and lost generation are included. Offshore, emergency climbs increase both financial and human risk.
Traditional SCADA alarms trigger only after problems occur. Operators are left firefighting instead of planning — turning every failure into an emergency.
Operations and maintenance can consume up to a quarter of the total cost of electricity from wind. Every hour of unplanned downtime erodes margins.
Technicians face real danger during emergency turbine climbs and offshore interventions. Predictive operations keep teams safer by eliminating surprise failures.
From power-curve analysis to remaining-useful-life forecasts — four core capabilities that keep your fleet running.
Compare real-world turbine output against expected power curves. Our models detect subtle deviations — revealing problems hours before standard alarms trigger.
Integrate SCADA and vibration signals to predict degradation and estimate remaining useful life months in advance, giving you time to plan interventions.
Drone inspections and advanced computer vision classify surface erosion versus structural threats, ensuring timely maintenance without unnecessary replacement.
Monitor electrical and mechanical subsystems holistically to reduce the risk of cascading failures across your fleet.
Replace components at the right time — not too early, not too late. Eliminate unnecessary crane mobilizations and emergency procurement.
Detect anomalies sooner to keep turbines generating. Turn reactive operations into planned, scheduled maintenance windows.
Reduce emergency climbs and offshore trips. Give your field teams advance notice — not emergency callouts.
Gain clear, automated reporting for stakeholders and regulators. Every prediction is traceable, auditable, and explainable.
Nrgy AI was built and proven on 103,543 real-world SCADA readings from an operational wind farm.
40%
Reduction in unplanned downtime
22.6 hrs
Average advance warning for failures
78%
Fewer false alerts through AI deduplication
As wind energy scales toward Net Zero goals, keeping turbines reliable is just as critical as building them. NISHRAM Nrgy AI equips operators with the foresight to maintain assets safely, efficiently, and sustainably.
Yes. NISHRAM ingests data from any SCADA system via OPC-UA, Modbus, REST API, CSV, or Parquet. We are OEM-agnostic — it works with Siemens, Vestas, GE, ABB, Schneider Electric, and custom SCADA platforms.
Nrgy AI was originally built and validated on wind turbine SCADA data (103,543 readings from Kelmarsh Wind Farm). The pipeline architecture generalizes to solar inverters, battery storage, and conventional generation with asset-specific model training.
NISHRAM deploys fully on-premise. The AI engine runs locally with no internet dependency. Air-gapped and offshore deployment is available for Enterprise tier customers.
Based on validated wind turbine data, the platform provides an average of 22.6 hours of advance warning for faults. For slower degradation patterns like bearing wear, forecasts extend weeks to months ahead.
$1.7 trillion lost globally to unplanned downtime every year. NISHRAM gives you the intelligence to act before failures happen.
Request a Demo →