Integrating Blockchain and AI to Enhance Supply Chain Transparency in Energy Sectors

Rajasekhar Reddy Talla ()
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Rajasekhar Reddy Talla: ADM - Archer Daniels Midland (ADM) International Sarl

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Abstract: This research examines how Blockchain and AI might improve energy supply chain transparency. These technologies are discussed to solve energy supply chain inefficiencies, fraud, and transparency while encouraging sustainability and operational optimization. The paper evaluates Blockchain and AI applications in energy systems using secondary data from literature, case studies, and industry sources. In summary, Blockchain provides an immutable and decentralized ledger for transparency and data integrity, while AI improves operational efficiency via predictive analytics, demand forecasting, and asset management. These technologies provide real-time tracking, cost reduction, and renewable energy integration. Scalability, data integrity, and regulatory ambiguity remain issues for Blockchain. The paper also stresses the need for clear legislative frameworks to govern energy industry blockchain and AI deployment. Policymakers should stimulate innovation, invest in digital infrastructure, and set safe and efficient technology integration standards. The study shows that Blockchain and AI can transform energy supply chains by improving transparency, efficiency, and sustainability and solving sector issues.

Keywords: Blockchain; Artificial Intelligence (AI); Energy Supply Chain; Renewable Energy; Smart Contracts; Data Integrity; Sustainability (search for similar items in EconPapers)
Date: 2022-12-31
Note: View the original document on HAL open archive server: https://hal.science/hal-04862355v1
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Published in Asia Pacific Journal of Energy and Environment, 2022, 9 (2), pp.109-118

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