Enhancing Renewable Energy Systems with Blockchain Technology and Machine Learning Optimization
Year: 2024
Type: article
Abstract: Blockchain technology has emerged as a promising tool for ensuring transparency, security, and efficiency in renewable energy systems. Paired with advanced machine learning optimization techniques, blockchain can help solve critical challenges related to energy distribution and transaction efficiency. This paper proposes a novel approach that integrates blockchain technology with a multi-objective optimization algorithm, designed to improve the performance and reliability of decentralized renewable energy networks. Simulations conducted on renewable energy datasets demonstrate substantial improvements in transaction security, system scalability, and resource optimization. Our proposed system outperforms traditional energy management techniques in terms of overall efficiency, making it a viable solution for future energy grids.
Source: Figshare
Author: George, Neethu
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6921000293
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