Can Blockchain Strengthen the Energy Internet?

Yapa, Charithri; Alwis, Chamitha de; Liyanage, Madhusanka

doi:10.3390/network1020007

Cited by 14 publications

(5 citation statements)

References 87 publications

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“…In particular, the establishment of the state longitudinal tracking data system has brought into play the systemic effects of big data on student management, classroom teaching, management decision-making, and research transformation [ 12 ]. When it comes to microschools in the U.S., they use the big data platform to keep track of everything about their pupils, so that they can accurately judge their learning behavior and the learning environment, while also helping instructors make better choices in the classroom [ 13 ]. The focus is on school education, supplemented by family education and social education.…”

Section: Current Status Of Researchmentioning

confidence: 99%

A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data

Yang

Talha

2021

Computational and Mathematical Methods in Medicine

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The purpose of this article is to perform in-depth research and analysis on the artificial intelligence coordination and optimization mechanism of college counseling student management using big data technology. This study places the collaborative ideological and political work of colleges and universities in the context of big data, and by analyzing its basic connotation and changes in the real situation, it explores the development progression of colleges and universities making full use of big data resources to cultivate a collaborative education model, which is conducive to promoting colleges and universities to cultivate a whole staff, whole process, and all-round accurate ideological education and value-led services and to shape excellent young college students with comprehensive growth. The first is to scientifically build a multilevel linked big data management platform for counselor professionalization construction, plan the technical architecture of the organizational platform, build a cloud database of counselor career files, and extract valuable information and data from the organizational activities at the macrolevel and personal activities at the microlevel with counselor professionalization construction activities; the second is to realize the integrated application of information resources for counselor team construction. The second is to realize the integrated application of counselor team construction information resources, visualise and accurately analyze and evaluate the counselor group’s focus on career development and individual counselors’ feedback on career capacity construction, and improve the overall construction, personalized education management level, and self-improvement development ability. Fourth, in the professionalization of counselors, attention should be paid to the scientific selection and prevention of risks of big data application, ensuring the authenticity and reliability of data and leakage prevention and control, etc.

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Section: Current Status Of Researchmentioning

confidence: 99%

A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data

Yang

Talha

2021

Computational and Mathematical Methods in Medicine

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“…The main challenge here is to store, process and analyze the large amount of data while offering scalability, security and data integrity . In this context, BC integration will enable security for data and build trust for distributed processing [117]. The secure data storage in cloud-based platforms relying on BC ensures cyber security and prevents data modification.…”

Section: Open Research Challengesmentioning

confidence: 99%

“…However, collecting and processing the large amount of unlabeled or uncategorized data causes significant challenges in building accurate ML models [23]. Moreover, due to the scalabality issue of BC, which has been an open research topic for a long time, it cannot facilitate scalable platforms for managing big data [117]. Most of the current BC applications are not capable of handling a large number of transactions in a short time and low cost [24].…”

Section: Open Research Challengesmentioning

confidence: 99%

Blockchain and Machine Learning for Future Smart Grids: A Review

2023

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Developments such as the increasing electrical energy demand, growth of renewable energy sources, cyber–physical security threats, increased penetration of electric vehicles (EVs), and unpredictable behavior of prosumers and EV users pose a range of challenges to the electric power system. To address these challenges, a decentralized system using blockchain technology and machine learning techniques for secure communication, distributed energy management and decentralized energy trading between prosumers is required. Blockchain enables secure distributed trust platforms, addresses optimization and reliability challenges, and allows P2P distributed energy exchange as well as flexibility services between customers. On the other hand, machine learning techniques enable intelligent smart grid operations by using prediction models and big data analysis. Motivated from these facts, in this review, we examine the potential of combining blockchain technology and machine learning techniques in the development of smart grid and investigate the benefits achieved by using both techniques for the future smart grid scenario. Further, we discuss research challenges and future research directions of applying blockchain and machine learning techniques for smart grids both individually as well as combining them together. The identified areas that require significant research are demand management in power grids, improving the security of grids with better consensus mechanisms, electric vehicle charging systems, scheduling of the entire grid system, designing secure microgrids, and the interconnection of different blockchain networks.

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“…In the energy field, the Internet of intelligence energy services can effectively complete the integration of power grids, thermal power grids and fuel grids, and realize the integration and complementarity of wind, solar and other energy sources. Energy Internet (also referred to as Smart grid 2.0) aims to become a smart grid with ultra-high voltage (UHV) grid as the backbone, variable clean energy transmission as the leader, and interconnection as the main feature [245]. Through the integration of the energy industry and intelligent technologies, comprehensive management of energy production, storage, transmission and consumption can be effectively realized [246].…”

Section: G Smart Grid/energymentioning

confidence: 99%

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

Tang,

Yu,

Xie

et al. 2022

Preprint

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The Internet of intelligence is conceived as an emerging networking paradigm, which will make intelligence as easy to obtain as information. This paper provides an overview of the Internet of intelligence, focusing on motivations, architecture, enabling technologies, applications, and existing challenges. This can provide a good foundation for those who are interested to gain insights into the concept of the Internet of intelligence and the key enablers of this emerging networking paradigm. Specifically, this paper starts by investigating the evolution of networking paradigms and artificial intelligence (AI), based on which we present the motivations of the Internet of intelligence by demonstrating that networking needs intelligence and intelligence needs networking. We then present the layered architecture to characterize the Internet of intelligence systems and discuss the enabling technologies of each layer. Moreover, we discuss the critical applications and their integration with the Internet of intelligence paradigm. Finally, some technical challenges and open issues are summarized to fully exploit the benefits of the Internet of intelligence.

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Can Blockchain Strengthen the Energy Internet?

Cited by 14 publications

References 87 publications

A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data

A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data

Blockchain and Machine Learning for Future Smart Grids: A Review

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

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