Precisely estimate the likelihood of DER adoption at the customer level with detailed spatial and locational granularity.
Design and operate rate structures and incentive programs across customer segments using time series-based rate modeling.
Accurately include DER in time series-based load forecasts utilizing a combination of top-down spatial allocation and bottom-up customer-level modeling. Seamlessly integrate results into existing workflows.
Understand the full picture of locational grid carbon intensity to support operational and siting decision making that informs decarbonization initiatives.
Quickly evaluate and validate non-wires alternatives in a fully integrated platform with superior visualization capabilities.
Predict which customers are likely to adopt building electrification modifications based on their demand and non-demand characteristics.
Conduct grid planning processes in one place utilizing time series-based forecasting, probabilistic adoption outcomes, and detailed analytics with data integration services.