@article{CRSIJ26000189,
                  author = {Henry Chibueze Ivo },
                  title = {Generative AI-Driven Modeling of Household Fuel Transitions and Climate Adaptation in Abakaliki, Nigeria},
                  journal = {Cosmo Research and Science International Journal},
                  year = {2025},
                  volume = {1},
                  number = {6},
                  pages = {642-647},
                  issn = {3108-1584},
                  url = {https://cosmorsij.com/published/CRSIJ26000189.pdf},
                  abstract = {Household biomass fuel dependence remains a critical intersection of energy poverty, public health, and climate vulnerability in sub-Saharan Africa. This study develops and applies a generative AI-driven modelling framework to simulate household fuel transition dynamics and generate climate adaptation pathways for Abakaliki, Nigeria. Integrating GANs, VAEs, and LLM-assisted analysis with empirical data from 847 household surveys, we construct a multi-scale agent-based model of household fuel decisions. Results demonstrate that income, LPG accessibility, women's decision-making authority, and social network influence are principal transition determinants. Under an integrated policy scenario combining LPG infrastructure expansion, targeted subsidies, community education, and improved cook stove distribution, household LPG penetration could reach 67.4% by 2035, achieving 1.87 million tonnes cumulative COâ‚‚e reductions and averting 1,820 disability-adjusted life years from indoor air pollution. Climate adaptation pathway analysis reveals that 34.7% of households face maladaptation risk under high-warming scenarios (RCP8.5) without complementary policy action. The generative AI framework demonstrates significant methodological utility for household energy research in data-scarce contexts. Policy recommendations address supply-chain infrastructure, gendered empowerment, spatially differentiated targeting, and climate-integrated planning at state and national levels.},
                  keywords = {Household energy transition, Climate adaptation; Generative AI, Abakaliki, Nigeria, LPG, Clean cooking, Agent-based modelling},
                  month = {May}
        }