The document discusses under frequency load shedding (UFLS) techniques for power system stability and energy management. It describes conventional UFLS methods and their limitations. It then proposes using an adaptive neuro-fuzzy inference system (ANFIS) to determine the optimal amount of load to shed in response to disturbances. The ANFIS approach is tested on an Indian power grid case study and shown to more accurately determine the required load shedding compared to conventional techniques. Simulation results demonstrate the ANFIS controller's ability to restore frequency within acceptable limits after disturbances while minimizing excess load shedding.