【影响因子】10.517
【主题类别】
区块链技术-协同技术-数字孪生
【Abstract】Facilitated by the improved prefabrication rate and polymerization degree using Modular Integrated Construc-tion (MiC), fit-out operations are converged with the off-site production and on-site assembly of prefabricated modules. Information technologies are used for MiC fit-out management and heterogeneous digital twins are generated. However, flexible collaboration of digital twins is hard to achieve and synchronized information sharing among transdisciplinary stakeholders is also hindered by "Islands of Information". Therefore, this paper develops a blockchain-enabled digital twin collaboration platform for MiC fit-out operations. Firstly, Integrated Domain-Driven Design (IDDD) model is proposed for information integration and interoperation in cross-domain construction projects. Secondly, based on IDDD, digital twins in various domains are integrated for seamless and transparent collaboration in MiC fit-out. Thirdly, Petri net-based workflow model is applied for collaboration of multi-domain digital twins under versioning smart contract, where net structure and behavior attributes facili-tate the automatic control during off-site and on-site MiC fit-out processes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Digital twin; Modular Integrated Construction (MiC); Fit-out; Domain-Driven Design (DDD); Petri net
【发表时间】2023
【收录时间】2023-03-03
【文献类型】 实验仿真
【影响因子】8.222
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】The COVID-19 crisis and global economic recession have shrunk the world's energy use, collapsed stock markets and crashed energy prices. Green economy projects are hence losing their focus and competitiveness, endan-gering the achievement of sustainable development goals and neutrality targets. The study aims to examine the dynamic linkages between the green economy, sustainability, Bitcoin, oil prices and stock markets. We do this by utilizing the daily data from August 2016 to August 2021 for the case of the United States. The recently developed quantile-on-quantile regression (QQR) and quantile Granger causality methods are employed for empirical analysis. Our empirical results indicate that a green economy or green financing from institutions is very sensitive to economic shocks, oil price changes and overall sustainability changes. Similarly, empirical results further reveal that there is a negative association between sustainability with oil prices and sustainability with stock markets; that oil prices and stock markets are also sensitive to sustainability-related shifts. Our study advises investors who want to support sustainable development to include green assets in their portfolios, such as green bonds, which are a good substitute for clean energy or renewable energy stocks. This study reports some fruitful implications apropos of sustainable development goals and a green economy.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Green economy; Sustainability; Stock markets; Oil prices; COVID-19
【发表时间】2023
【收录时间】2023-03-03
【文献类型】 实证数据
【影响因子】6.143
【主题类别】
区块链应用-实体经济-金融领域
【Abstract】Sustainable finance and blockchain studies have garnered considerable interest recently. but there has been no systematic analysis of blockchain in sustainable finance to far. To fill this gap, based on the theme structure of blockchain research in the field of renewable finance from November 1, 2008 to January 31, 2022, this paper proposes a multi-level and all-round comprehensive bibliometric method (Co-occurrence Analysis method, Natural Language Pro-cessing method, and Exploratory Factor Analysis method) to comprehend the mode, process, and mechanism of the integration of them. The findings indicate that: (1) Blockchain has been widely used in many industries involved in sustainable finance; (2) Blockchain will have a long-term impact on Sustainable Finance in the fields of smart city and sharing economy; (3) Blockchain can be deeply integrated with other technologies to promote the diversified development of sustainable finance. Additionally, we highlight trends and research directions regarding block -chain in sustainable finance research.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Sustainable finance; Blockchain; Cryptocurrency; Comprehensive method; Systematic literature review
【发表时间】2023
【收录时间】2023-03-03
【文献类型】 综述
【Author】 Wang, Bozhi Xu, Jinfei Ke, Jin Chen, C. L. Philip Wang, Junyu Wang, Nanxin Li, Xi Zhang, Fangfei Li, Lulu
【影响因子】3.858
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】With the spread of distributed renewable energy, residents are shifting from being mere consumers to being energy producers and consumers. This role shift poses challenges to the electricity trading mechanism that connects distributed renewable energy sources to the grid. In this paper, a new efficient and secure blockchain-based distributed community energy trading mechanism is proposed, called CE-SDT. Our system is proved to be stable and scalable. It can also help shift loads and power peaks and reduce customer costs by 60%. As a result, our proposed blockchain-based trading mechanism, as compared to the centralized trading mechanism, is applied to microgrids formed by distributed renewable energy sources, not only obtaining greater economic benefits but also reducing the carbon footprint of residents, and furthermore, it promotes low or zero-carbon configurations of the power system, thereby achieving certain environmental benefits.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】energy trading; blockchain-based; smart contract; microgrids; solar power; zero-carbon communities
【发表时间】2023
【收录时间】2023-03-03
【文献类型】 理论模型
【Author】 Alexander, Carol Dakos, Michael
【影响因子】1.986
【主题类别】
区块链治理-市场治理-技术采用
【Abstract】A plethora of academic papers on generalized autoregressive conditional heteroscedasticity (GARCH) models for bitcoin and other cryptocurrencies have been published in academic journals. Yet few, if indeed any, of these are employed by practitioners. Previous academic studies produce results that are fragmented, confusing and conflicting, so there is no commercial incentive to drive an expensive implementation of complex multivariate GARCH models, which anyway would commonly require more data for calibration than are available in the history of most cryptocurrencies, at least at the daily frequency. Consequently, this paper assesses the forecasting accuracy of simple parametric RiskMetrics (TM) type volatility and covariance models, with a focus on ad hoc parameter choice instead of a data-intensive calibration procedure. We provide extensive backtests of hourly and daily Value-at-Risk (VaR) and Expected Shortfall (ES) forecasts that are regarded as best practice in the industry and commonly used for regulatory approval. Our results demonstrate that much simpler models in the exponentially weighted moving average (EWMA) class are just as accurate as GARCH models for VaR and ES forecasting, provided they capture an asymmetric volatility response and a heavy-tailed returns distribution. Moreover, on ranking each model's variance and covariance forecasts using average scores generated from proper univariate and multivariate scoring rules, there is no evidence of superior performance of variance and covariance forecasts generated by GARCH models, using either daily or hourly data.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Volatility clustering; Conditional VaR; Continuous ranked probability score; Energy score; Traffic light tests
【发表时间】
【收录时间】2023-03-03
【文献类型】 实证数据
【Author】 Anwar, Farhat Khan, Burhan Ul Islam Kiah, Miss Laiha Mat Abdullah, Nor Aniza Goh, Khang Wen
【影响因子】0.000
【主题类别】
区块链技术-核心技术-核心技术集
【Abstract】Blockchain technology is based on the idea of a distributed, consensus ledger, which it employs to create a secure, immutable data storage and management system. It is a publicly accessible and collectively managed ledger enabling unprecedented levels of trust and transparency between business and individual collaborations. It has both robust cryptographic security and a transparent design. The immutability feature of blockchain data has the potential to transform numerous industries. People have begun to view blockchain as a revolutionary technology capable of identifying "The Best Possible Solution " in various real-world scenarios. This paper provides a comprehensive insight into blockchains, fostering an objectual understanding of this cutting-edge technology by focusing on the theoretical fundamentals, operating principles, evolution, architecture, taxonomy, and diverse application-based manifestations. It investigates the need for decentralisation, smart contracts, permissioned and permissionless consensus mechanisms, and numerous blockchain development frameworks, tools, and platforms. Furthermore, the paper presents a novel compendium of existing and emerging blockchain technologies by examining the most recent advancements and challenges in blockchain-enabled solutions for a variety of application domains. This survey bridges multiple domains and blockchain technology, discussing how embracing blockchain technology is reshaping society's most important sectors. Finally, the paper delves into potential future blockchain ecosystems providing a clear picture of open research challenges and opportunities for academics, researchers, and companies with a strong fundamental and technical grounding.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; blockchain applications; consensus algorithms; distributed ledger; smart contract
【发表时间】2022
【收录时间】2023-03-03
【文献类型】 综述
【Author】 Nar, Dharna Kotecha, Radhika
【影响因子】0.000
【主题类别】
区块链应用-实体经济-无人机
【Abstract】With the rapid technological development of robust and intelligent Unmanned Aerial Vehicles (UAVs), typically referred to as drones, much opportunities have emerged to provide Drone-as-a-Service (DraaS) to help industries such as agriculture, energy and utilities, GIS, package delivery, cinematography, industrial inspection and many more. The capability of drones to lift payload, acquire data with camera and sensors mounted on it make drones as a useful tool for various commercial applications. However, there exist great challenges for executing autonomous missions, operations, management, ensuring safety and secure communications. In this research paper, we review the latest research in the field of Artificial Intelligence and Blockchain applied for DraaS. Blockchain being a distributed ledger protects the shared data using cryptography techniques such as hash functions and public key encryption. It can also be used for assuring the truthfulness of the information stored and for improving the security and transparency of the UAVs. The integration of AI contributes more intelligence to the system enabling informed decision making and eventually converting drones into vehicles capable of executing autonomous missions in the real-world. Hence this work presents the essentials for integrating Artificial Intelligence and Blockchain technologies with drones for the successful deployment of Drone-as-a-Service and research directions in the same.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Drones; UAVs; Artificial Intelligence; Blockchain; Smart Contract; Drone delivery; Decentralized
【发表时间】2022
【收录时间】2023-03-03
【文献类型】 综述