Paper Title: EcoChain: A Generative Explainable AI Framework for Sustainable Energy Efficiency and Carbon Reduction
Conference Name: KICS
Abstract: This paper introduces EcoChain, a secure, decen-
tralized framework combining blockchain-enabled generative
explainable AI with reinforcement learning to enhance energy
efficiency and reduce carbon emissions in industrial settings.
EcoChain consists of four main components: (i) lifecycle moni-
toring, (ii) energy monitoring, (iii) hybrid storage management,
and (iv) a central controller. The AI-driven lifecycle monitoring
system predicts device obsolescence in advance, prompting timely
replacements, which can enhance energy efficiency by 19.5% (as
per a 2024 survey of companies in the Gumi Industrial Complex).
Additionally, the energy monitoring system contributes a 4.3%
increase in energy efficiency. By leveraging hybrid storage that
combines renewable energy and smart grid technology, EcoChain
is anticipated to improve energy efficiency by 20% and reduce
carbon emissions by 18%.