A method for manufacturing a rotor blade component of a wind turbine, the method comprising: providing a mold body that is divided into a plurality of mold zones, each of the mold zones having at least one sensor associated therewith for sensing a temperature or degree-of-cure thereof; providing a composite material schedule for each of the mold zones; placing composite material onto the mold body according to the composite material schedule; supplying a resin material to each mold zone of the mold body; implementing a cure cycle for the rotor blade component, the cure cycle comprising: supplying heat to each of the mold zones; continuously receiving, via a controller, signals from the sensors from one or more of the mold zones; and, dynamically controlling the supplied heat to each mold zone based on the received signals and the composite material schedule of each mold zone until the cure cycle is complete, wherein the dynamically controlling comprises generating a unique temperature profile for each of the mold zones based on the composite material schedule, and controlling the supplied heat to each mold zone based on the unique temperature profile provided thereto until the cure cycle is complete; wherein the method further comprises continuously optimizing the cure cycle during implementing via machine learning, wherein the continuously optimizing comprises determining initial operating parameters for each of the mold zones, optimizing the initial operating parameters via computer simulation, and sending the optimized initial operating parameters to the controller to utilize in the cure cycle; and wherein the method further comprises developing one or more algorithms that run the computer simulation repetitively, and adjusting the temperatures profile for each mold zones to achieve a shortest overall cure cycle. providing a mold body that is divided into a plurality of mold zones, each of the mold zones having at least one sensor associated therewith for sensing a temperature or degree-of-cure thereof; providing a composite material schedule for each of the mold zones; placing composite material onto the mold body according to the composite material schedule; supplying a resin material to each mold zone of the mold body; implementing a cure cycle for the rotor blade component, the cure cycle comprising: supplying heat to each of the mold zones; continuously receiving, via a controller, signals from the sensors from one or more of the mold zones; and, dynamically controlling the supplied heat to each mold zone based on the received signals and the composite material schedule of each mold zone until the cure cycle is complete, wherein the dynamically controlling comprises generating a unique temperature profile for each of the mold zones based on the composite material schedule, and controlling the supplied heat to each mold zone based on the unique temperature profile provided thereto until the cure cycle is complete; supplying heat to each of the mold zones; continuously receiving, via a controller, signals from the sensors from one or more of the mold zones; and, dynamically controlling the supplied heat to each mold zone based on the received signals and the composite material schedule of each mold zone until the cure cycle is complete, wherein the dynamically controlling comprises generating a unique temperature profile for each of the mold zones based on the composite material schedule, and controlling the supplied heat to each mold zone based on the unique temperature profile provided thereto until the cure cycle is complete; wherein the method further comprises continuously optimizing the cure cycle during implementing via machine learning, wherein the continuously optimizing comprises determining initial operating parameters for each of the mold zones, optimizing the initial operating parameters via computer simulation, and sending the optimized initial operating parameters to the controller to utilize in the cure cycle; and determining initial operating parameters for each of the mold zones, optimizing the initial operating parameters via computer simulation, and sending the optimized initial operating parameters to the controller to utilize in the cure cycle; and wherein the method further comprises developing one or more algorithms that run the computer simulation repetitively, and adjusting the temperatures profile for each mold zones to achieve a shortest overall cure cycle. developing one or more algorithms that run the computer simulation repetitively, and adjusting the temperatures profile for each mold zones to achieve a shortest overall cure cycle.