Leaptran’s Net Load Forecasting solution enables utilities, grid operators, and aggregators to accurately predict net demand by accounting for behind-the-meter (BTM) solar, distributed generation, and large flexible loads such as AI data centers and electrification clusters.
With DER penetration and load flexibility growing rapidly, net load forecasting is no longer optional — it’s operationally essential.
The grid is changing faster than legacy models can track:
Net Load = Total Load – Behind-the-Meter Generation
Getting it wrong leads to over/under-commitment, reserve imbalance, and reliability risk.
Leaptran’s net load forecasting engine combines real-time telemetry, weather-normalized ML models, and inverter/AMI analytics to estimate net demand at multiple spatial scales.
A Texas utility deployed Leaptran’s net load model across high-DER feeders and reduced 15-min net load MAE by 30%, enabling improved feeder-level VVO (Volt/VAR Optimization) and day-ahead bid accuracy.
Leaptran’s Net Load Forecasting delivers the insight you need to operate a distributed, flexible, and fast-changing grid.
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