Sensing and Predictive Analytics
NLR measures weather resources and power systems, forecasts energy resources and grid conditions, and converts measurements into operational intelligence to support grid operations and planning.
Grid operations involve assessing the grid's health in real time, predicting its behavior and potential disruptions, and quickly responding to events—which require understanding vital parameters throughout the electric infrastructure, from generation to the end user. NLR research is improving sensing and predictive analytics across these spatial scales and at multiple timescales—from microseconds to hours and days—to support advances in power systems operations and planning.
Capabilities
Dynamic Reserves and Flexibility Estimation
Capabilities include analytics, simulations, and analysis for dynamic reserves and flexibility estimation.
Dynamic State Estimation
Dynamic state variables for modernizing electric power grids.
Load Modeling and Forecasting
Distributed energy resource models for load modeling for appliances and homes.
Solar Measurement and Modeling
Assets include solar resource measurements, models, and best practices for grid integration studies.
Solar and Wind Forecasting
Solar and wind capabilities, analytics, simulations, and visualizations for forecasting that is integrated into energy management systems.
Stability Assessment and Control
Data-driven stability assessment and control approaches for reliable operation planning of power systems.
State Estimation and Forecasting
Data analytics for estimating and forecasting grid conditions for power systems planning.
Wind Sensing and Modeling
Resources include remote and traditional wind measurements; sensing; lidar, solar, and radar technologies for deployment of wind-based generation technologies.
Access our library of energy resource data.
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Last Updated July 28, 2026