Cutting-edge AI, cloud computing, and data analytics powering the next generation of wind farm intelligence.
Deep neural networks and ensemble models trained on millions of data points for accurate predictions and optimization.
Scalable, secure cloud-native architecture ensuring 99.9% uptime and seamless global accessibility.
High-performance computational fluid dynamics for accurate wake modeling and flow field analysis.
Real-time sensor integration and supervisory control systems for continuous monitoring and data collection.
Our proprietary AI models leverage state-of-the-art deep learning architectures to deliver unprecedented accuracy in prediction and optimization.
Multi-layer recurrent and convolutional networks trained on temporal wind patterns, turbine performance data, and environmental conditions. Our models achieve 99.5% prediction accuracy.
Combination of gradient boosting, random forests, and neural networks to capture complex non-linear relationships and improve robustness across diverse operating conditions.
Pre-trained models fine-tuned for your specific site conditions, reducing deployment time and improving accuracy from day one.
Models automatically retrain and adapt as new data becomes available, ensuring sustained performance over the asset lifecycle.
class WindFarmPredictor:
def __init__(self):
self.lstm = LSTM(units=128, layers=3)
self.cnn = Conv1D(filters=64, kernel=3)
self.ensemble = GradientBoosting()
def predict_power(self, wind_data):
temporal = self.lstm(wind_data)
spatial = self.cnn(wake_field)
return self.ensemble([temporal, spatial])
def optimize_layout(self, site_params):
# Genetic algorithm + neural network
return optimal_turbine_positionsHigh-throughput streaming architecture processes millions of data points per second from sensors, weather stations, and SCADA systems.
Unified ingestion from turbine SCADA, meteorological sensors, satellite imagery, grid data, and third-party weather forecasts.
Apache Kafka and Flink for real-time data transformation, validation, and anomaly detection with sub-second latency.
Optimized storage for billions of time-stamped measurements with efficient compression and lightning-fast queries.
Automated validation, gap-filling, and quality control ensuring model inputs meet strict accuracy standards.
Your data and operations are protected by industry-leading security measures
AES-256 encryption for data at rest and TLS 1.3 for data in transit
Independently audited security controls and operational practices
Granular permission controls and multi-factor authentication
Complete activity tracking and compliance reporting
Schedule a demo to see our platform in action with your data.