Modeling Of The Building Blocks Of Block Chain In The Field Internet Of Energy (IOE): A Systematic Review With A Text Mining Approach
Subject Areas : Technology Transfer and Commercialization of Researches
syed vahab shafayi
1
,
Elham Fazeli veisari
2
*
,
Mohammad Javad Taghipourian
3
1 - Doctoral student of Technology Management - Management of Technology Transfer and Intellectual Property, Department of Management, Roudhen Branch, Islamic Azad University, Roudhen, Iran.
2 - Assistant Professor of Business Entrepreneurship, Department of Management and accounting, Tonekabon branch, Islamic Azad University, Tonekabon, Iran
3 - Associate Professor of Business Administration, Department of Management, Chalous Branch, Islamic Azad University, Chalous, Iran.
Keywords: Block chain, internet of energy (IOE), technology, renewable energy, text mining approach.,
Abstract :
The application of block chain in recent years is a revolutionary technology in the field of database and network and has different applications. Considering the crisis of energy consumption, the desire to use renewable energy, global warming issues and the movement towards sustainability in production and development,the concept of Internet of Energy is one of the most important issues of the world.For the past years, there has been speculation about block chain technology's ability to make the energy sector more efficient.The energy sector is a completely transactional and complex system that has several sources, suppliers, distributors and intermediaries, so identifying the dimensions and elements of block chain in the field of internet energy are the main goal of this research. In terms of practical purpose, this study examines comprehensive systematic literature on 2215 articles in the period from 2013 to 2024,using bibliography analysis tools and text mining approach,using Rapid Miner 9.10 and Excel 2016 software. And then it clusters the elements and dimensions of block chain in the field of internet energy. The findings were as follows: 124 records were examined, then 5 main clusters were identified through text mining. Building trust and providing smart virtual infrastructure, systematic productivity for clean energy distribution, safe optimization in energy consumption and conversion, modern management and maturity in technology structure and energy self-evaluation. The insights that this model provides about the macro energy management of a country can help to plan energy strategies for production, including conversion, transmission, distribution and energy consumption.
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