Kentucky-based Integral Analytics has integrated its LoadSeer forecasting application with German firm Envelio’s intelligent grid platform.

Envelio provides grid planning and interconnection software for electric utilities. Integral Analytics is a provider of electric utility forecasting and system planning products.

The integration allows utilities to apply forecasted load assumptions directly within grid-aware planning workflows by combining LoadSeer’s load forecasting outputs with the intelligent grid platform’s distribution network modelling, scenario analysis and load flow capabilities. This enables utilities to evaluate future demand growth within an up-to-date, computable model of the distribution system, rather than translating forecasts manually between disconnected tools.

Electric utilities across the USA are increasingly relying on forward-looking load assumptions to support distribution system planning, interconnection analysis and grid modernisation efforts. The integration strengthens this approach by improving the reliability and consistency of load forecasts used in grid simulations and planning studies.

Envelio’s intelligent grid platform (us.envelio.com/igp) lets utilities run forecast-based scenarios, evaluate load growth assumptions, and analyse their impact on feeders, transformers and substations using detailed network models. By integrating LoadSeer (integralanalytics.com/products/loadseer/), utilities can enrich these assumptions with statistically robust, spatially resolved load forecasts derived from historical data and evolving customer behaviour.

With the integration, utilities can apply load forecasts directly within grid-based scenario and load flow analyses, as well as evaluate how projected demand growth impacts feeders, transformers and substations across different planning horizons. They can improve hosting capacity assessments by reflecting forecasted load alongside existing and queued projects, and strengthen interconnection and queue management workflows with consistent forecast assumptions.

For example, planners can assess whether forecasted electrification or DER-driven load growth will introduce feeder- or transformer-level constraints before new projects enter the interconnection queue.

Rather than treating load forecasting and grid modelling as separate planning steps, the combination enables utilities to assess forecasted demand growth directly against real network constraints.

Utilities commonly use forecast-driven scenarios to support distribution system planning, interconnection studies and long-term investment decisions. The integration between LoadSeer and Envelio’s platform helps ensure forecasting assumptions remain consistent as they move from planning teams into engineering-grade grid analysis.

By reducing manual data transfers and interpretation between forecasting and grid modelling environments, utilities can shorten planning cycles while increasing confidence in technical results used for internal decision-making and regulatory support.

LoadSeer is widely used to assess the impacts of electrification, DER adoption and changing customer behaviour on future load patterns. When combined with the Envelio platform’s load-flow simulations, utilities can directly evaluate where forecasted load growth may drive capacity constraints, interconnection challenges or the need for targeted grid upgrades. This integrated approach supports more informed prioritisation of grid investments and provides engineering-validated inputs for long-term distribution system planning.

“Utilities already use forecast-based scenarios to plan their grids,” said Luigi Montana, CEO of Envelio (envelio.com) in the USA. “This integration improves how those forecasts are applied inside network-aware planning models. By combining LoadSeer’s forecasting with the intelligent grid platform’s modelling and simulation, utilities can evaluate future demand with greater accuracy and confidence.”

Scott Smith, president of Integral Analytics (integralanalytics.com), added: “We are excited to partner with the Envelio team to deliver a new generation of high-performance grid modelling. This collaboration will help utilities significantly accelerate planning and operational response while improving decision confidence for an increasingly complex grid. The result is a more affordable, resilient and reliable energy system for the customer and communities the utility serves.”