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A blockchain‐based resilient and secure framework for events monitoring and control in distributed renewable energy systems

doi: 10.1049/blc2.12081
AbstractThe rapid and green energy transition is essential to deal with the fast‐growing energy needs in both public and industrial sectors. This has paved the way to integrate distributed renewable energy resources () such as solar, hydro, wind, and geothermal into the power grid (). Wind and solar are free, zero‐carbon emission, and everlasting power sources that contribute 5% and 7% of global electricity generation, respectively. Therefore, the fast, secure, and reliable integration of these green is critical to achieve the instant energy demands. Smart grid due to inherited characteristics such as intelligent sensing, computing, and communication technologies can effectively integrate the . However, the existing smart grid communication architecture faces various cyberattacks, resulting in poor integration, monitoring, and control of . In this respect, blockchain technology can provide fast, secure, and efficient end‐to‐end communication between in the smart grid. In this study, the authors propose a blockchain‐based resilient and secure scheme called for wireless sensor networks ‐based events monitoring and control in . Experimental studies and performance analyses are carried out to predict the efficiency of the proposed scheme by considering numerous standard metrics. The extensive numerical results demonstrated that the proposed scheme is significant in terms of secure, resilient, and reliable information transmission for in .
- University of Vaasa Finland
- Chongqing University of Technology China (People's Republic of)
- University of Vaasa Finland
- University of Vassa Finland
- University of Southampton Malaysia Malaysia
information security, secure communication, fi=Tietotekniikka|en=Computer Science|, QA75.5-76.95, IoT and networking, avalanche, peer-to-peer computing, Electronic computers. Computer science, peer‐to‐peer computing
information security, secure communication, fi=Tietotekniikka|en=Computer Science|, QA75.5-76.95, IoT and networking, avalanche, peer-to-peer computing, Electronic computers. Computer science, peer‐to‐peer computing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).19 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
