Sustainable AI and Blockchain: Optimizing Energy Efficiencyin Data Engineering Infrastructure
DOI:
https://doi.org/10.14419/x3h64t90Published
19-05-2026Keywords:
AI-Driven Energy Optimization; Blockchain-Based Sustainability; Green Data Engineering; Decentralized InfrastructureAbstract
The societal perspectives on energy use and sustainability are further complicated by incredible advancements in systems that inform through data-intensive information engineering. Artificial Intelligence (AI) provides data-rich capability in data-rich environments, while the energy system uses much less energy in aggregate as an energy system comparable to blockchain applications. As predictive and adaptive intelligence has proven to be more efficient, energy utilization is also evolving in AI and its resource and data management ecologies. The decentralized elements, such as openness and security of blockchain applications, also greatly add to contact reliability of the energy operative performance of the entire ecosystem by reducing wasted and/or non-usage of energy and/or other resource domains through information engineering systems. The current use of smart grids as important for smart grids considering edge computing/applications and thermal fluid systems applications for city microclimate controls for developing economies is included and analyzed. The paper is a thoroughly informative presentation of smart cities with AI, blockchain technology, and sustainable resource consumption and use, based on emergent literature to communicate meaningful contributions to the discourse area.
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