Forecasting distributed energy from the asset, not the estimate.
Most distributed-energy forecasting relies on satellite proxies and statistical load models. NaviRex works from ground truth - a network of contractually enrolled solar-battery assets measuring generation, storage, and net demand directly, in real time. Better inputs make better forecasts.
Ground-truth asset data
A network of hybrid solar-battery inverters measuring PV generation, and actual household consumption simultaneously — the complete energy balance at each node, captured continuously from the physical asset. The net demand others estimate, we measure directly.
Weather-aware models
Blend historical performance with weather and irradiance data to anticipate output and shortfalls.
Grid & market signals
Turn forecasts into actionable signals for settlement, dispatch, and carbon-savings planning.
Cloud-native platform
Built cloud-native to ingest telemetry from thousands of distributed assets and serve forecasts on demand. Scales elastically across DISCOM zones and exposes outputs via standard REST APIs — no on-premise infrastructure to deploy or maintain.
Node-level forecasts, updated in real time.
Each enrolled asset streams generation, storage state, and net demand — aggregated into per-node and per-feeder forecasts that update as conditions change. Operators read predicted output, confidence bands, and shortfalls at a glance.
Infrastructure built to scale
NaviRex runs on a cloud-native architecture designed for distributed data at scale — continuous ingestion from enrolled assets, automated model retraining, and elastic compute that expands zone by zone as the network grows. Forecasts are served through standard APIs, so utilities integrate without new hardware. The same platform that measures a single rooftop scales to a national feeder network.
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