A neuro-fuzzy program approach for evaluating electric power generation systems

This paper uses neuro-fuzzy programming to perform a comparison between the different electricity power generation options for Jordan. Different syste ms are considered: in addition to fossil fuel power plants, nuclear, solar, wind, and hydropower systems are evaluated. Based on cost-to-benefit ratio s, results show that solar, wind, and hydropower are considered to be the b est systems for electricity power generation. On the other hand, nuclear el ectricity turns out to be the worst choice, followed by fossil fuel electri c power. (C) 2001 Elsevier Science Ltd. All rights reserved.