Universal Energy Access: Enhancing Networked Rural Electrification Using Modified Fuzzy Inference Method

To achieve UN Sustainable Development Goal 7 (SDG7) by 2030, better rural electrification is required. Most current projects provide electricity inefficiently to rural users rather using stand-alone designs. As most remaining unserved users are located in difficult-to-reach areas, IEA has pointed out that the marginal cost of rural electrification is increasing. Earlier work indicates that networking rural villages would be more cost-effective than prior models. This work uses modified fuzzy inference to improve power distribution costs by improving the optimality of distribution network design.