Future inverter-based resources (IBRs) need to provide grid-forming functions to offset the decline of conventional synchronous machines in the power mix. Decreasing system inertia challenges grid frequency stability, limiting the rate of change of frequency. Novel controls, like virtual synchronous machine (VSM), provide virtual inertia by harnessing kinetic energy from wind turbines. IBR grid-forming capabilities depend on volatile conditions, making inertia provision a marketable asset. Forecasting wind farm inertia is thus of interest to operators. This paper proposes a method to forecast inertia considering wake effects, mapping site conditions to each turbine through a wake model to predict grid-forming capabilities.

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