In this world, the availability of conventional energy is less because of the absence of their primary sources in nature. So, in this work, a fuel module technology is taken into account due to the huge accessibility in nature. Here, the fuel module offers a decent I-V curve. However, this fuel module energy needs a linearization process. So, the Modified Artificial Neural Network (MANN) technology is introduced in this paper for linearizing the fuel system’s working behavior. These MPPT features are better reliability, more flexibility in MPP finding, better accuracy in the entire system voltage production, and easy controller installation. However, the fuel module production system voltage delivery is less for this condition, a non-isolated voltage conversion circuit is recommended in this work for meeting the consumer load voltage rating. The advantages of these voltage transmission circuits are few passive elements usage, very low voltage level stress on all the power semiconductors, and more reliability.