scholarly journals Energy Trading Perspectives in the Digital Era

2020 ◽  
Vol 14 (1) ◽  
pp. 16-27
Author(s):  
András Puskás-Tompos
Keyword(s):  
Artificial Intelligence ◽  
Smart Grids ◽  
Carbon Dioxide Emissions ◽  
Business Models ◽  
Rapid Evolution ◽  
Sustainable Business ◽  
Energy Trading ◽  
Electricity Trading ◽  
Blockchain Technology ◽  
Digital Era

AbstractThe aim of the paper research is to identify and improve business models in energy trading by analyzing the current situation and developing scenarios for the evolution of business models in the Digital Era. It is very important to analyze, identify and track those directions that we believe will drive energy trading in order to be able to design and create new sustainable business models. We highlight the possibilities and ways of improving the energy trading, analyzing the rapid evolution of the field, generated by the emergence of several new factors that can influence this industry. Beside those directions at which electricity trading is heading in the Digital Era, the research also describes main innovations in the field such as Smart Grids, Blockchain Technology, Peer-to-peer trading platforms and Demand Response through which the purpose is to attract final consumers to the energy trading on web platforms or mobile applications with which they can properly control their electric appliances and self-generation units in their homes, all these supervised and guided by artificial intelligence. The type of research proposed to identify the current condition and to be able to develop new trading models is empirical research through qualitative analysis. Beyond incentives and monetary benefits, the focus is on final consumer education and increased awareness towards a more conscious, optimal and rational consumption of electricity that can lead to both a better use of the energy production from renewable sources and a reduction of pollutant fossil fuel electricity generation and carbon dioxide emissions without endangering the proper functioning of the electricity systems. Previous researches are based more on incentivizing or penalizing end consumers in present paper, more emphasis is placed on attracting the end consumer to his own electricity trading through mentioned innovation, but also supervised and guided by artificial intelligence.

scholarly journals Sustainable development and sharing economy: A bibliometric analysis

2021 ◽  
Vol 19 (4) ◽  
pp. 1-19
Author(s):  
Ruihui Pu ◽  
Xiang Li ◽  
Pujiayi Chen
Keyword(s):  
Sustainable Development ◽  
Smart Grids ◽  
Business Models ◽  
Sustainable Consumption ◽  
Sharing Economy ◽  
Research Trend ◽  
Urban Mobility ◽  
Sustainable Business ◽  
Academic Communities ◽  
Sustainable Business Models

Sustainability promotes a feasible strategy to achieve a continuous development of the economy, society, and environment. This study aims to analyze the growing efforts on researches made by academic communities in exploring the sharing economy as a potential approach to promote sustainable development. A bibliometric approach with VOSviewer and COOC analysis was applied. A total number of 975 published articles were analyzed in this study. As a result, it was found that few studies have shed light on collaborative and sustainable consumption, climate change, and bioeconomy in the sharing economy by country, such as renewable resources and business models, circular economy in China, and life cycle assessment, particularly taking evidence from the urban mobility services in China. It was also revealed that there is a new indiscipline research trend in the field of sustainable development such as sustainable business models, game theory, blue economy, peer-to-peer accommodation, smart grids, and electric vehicles. Other trend concentrates on technological advancements and policies to promote sustainable development in the sharing economy.

scholarly journals Digital Transformation for Sustainability: A Qualitative Analysis

2020 ◽  
Vol 13 (3) ◽  
pp. 30
Author(s):  
Wail El hilali ◽  
Abdellah El Manouar ◽  
Mohammed Abdou Janati Idrissi
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Qualitative Analysis ◽  
Business Models ◽  
Digital Transformation ◽  
Future Research ◽  
Research Model ◽  
Four Dimensions ◽  
Digital Era ◽  
Scarcity Of Resources

In the digital era, finding a new way to conduct business becomes mandatory. The risk of disruption, the bloody competition, the change in customer behaviours and the scarcity of resources, these are few of many drivers that force companies to change their business models and adapt to the new market reality. Digital transformation emerged as a recent concept that help companies to best leverage digital capabilities such as Big data, Internet of things, Cloud Computing and Artificial Intelligence. The purpose of this paper was to conduct a qualitative analysis on three big size companies in order to enrich the literature on this concept and to discuss whether or not companies could reach sustainability during their transformation journeys. The three in-depth case studies showed that customers, data, competition and innovation are four dimensions of digital transformation that have an impact on the companies’ sustainability actions. We proposed at the end of the article a future research model, composed of 5 hypotheses, to be validated by a future empirical study.

Smart contracts to enable sustainable business models. A case study

2020 ◽  
Vol 58 (8) ◽  
pp. 1601-1619
Author(s):  
Francesca Dal Mas ◽  
Grazia Dicuonzo ◽  
Maurizio Massaro ◽  
Vittorio Dell'Atti
Keyword(s):  
Business Models ◽  
New Technologies ◽  
Smart Contracts ◽  
Sustainable Business ◽  
Content Type ◽  
Blockchain Technology ◽  
Start Up ◽  
Social Proof ◽  
Sustainable Business Models

PurposeThe objective of this study is to deepen how blockchain technology through smart contracts can support the development of sustainable business models (SBMs). Particularly, the authors aim to determine the key elements enabling SBMs by applying smart contracts.Design/methodology/approachThe research context focusses on the case study of SmartInsurance, which is a fictitious name for a start-up in the insurance sector and the real name of which is not to be revealed. The start-up was able to collect 18m euros in 80 s in a crowdfunding operation, using smart contracts and a revolutionary business model. Internal as well as external documents of different sources are analysed and coded to gather information about the company, its values and its business and what it pursues with employing blockchain technology.FindingsThe results show how smart contracts can reduce the costs of transactions, increase social trust and foster social proof behaviours that sustain the development of new SBMs.Originality/valueThis study contributes to both the transaction cost theory and social proof theory, showing how new technologies such as the blockchain can provide a fresh perspective to support the development of SBMs.

scholarly journals Privacy-Preserving Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids Using Functional Encryption

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1321 ◽  
Author(s):  
Ye-Byoul Son ◽  
Jong-Hyuk Im ◽  
Hee-Yong Kwon ◽  
Seong-Yun Jeon ◽  
Mun-Kyu Lee
Keyword(s):  
Distribution System ◽  
Smart Grids ◽  
Renewable Energy Sources ◽  
Peer To Peer ◽  
Smart Contracts ◽  
Functional Encryption ◽  
Smart Meters ◽  
Trade Surplus ◽  
Energy Trading ◽  
Blockchain Technology

Advanced smart grid technologies enable energy prosumers to trade surplus energy from their distributed renewable energy sources with other peer prosumers through peer-to-peer (P2P) energy trading. In many previous works, P2P energy trading was facilitated by blockchain technology through blockchain’s distributive nature and capacity to run smart contracts. However, the feature that all the data and transactions on a blockchain are visible to all blockchain nodes may significantly threaten the privacy of the parties participating in P2P energy trading. There are many previous works that have attempted to mitigate this problem. However, all these works focused on the anonymity of participants but did not protect the data and transactions. To address this issue, we propose a P2P energy trading system on a blockchain where all bids are encrypted and peer matching is performed on the encrypted bids by a functional encryption-based smart contract. The system guarantees that the information encoded in the encrypted bids is protected, but the peer matching transactions are performed by the nodes in a publicly verifiable manner through smart contracts. We verify the feasibility of the proposed system by implementing a prototype composed of smart meters, a distribution system operator (DSO) server, and private Ethereum blockchain.

scholarly journals Blockchain in Smart Grids: A Review on Different Use Cases

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4862 ◽  
Author(s):  
Tejasvi Alladi ◽  
Vinay Chamola ◽  
Joel J. P. C. Rodrigues ◽  
Sergei A. Kozlov
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Distribution Systems ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Energy Trading ◽  
Blockchain Technology ◽  
Efficient Data ◽  
Privacy Issues ◽  
The Internet Of Things

With the integration of Wireless Sensor Networks and the Internet of Things, the smart grid is being projected as a solution for the challenges regarding electricity supply in the future. However, security and privacy issues in the consumption and trading of electricity data pose serious challenges in the adoption of the smart grid. To address these challenges, blockchain technology is being researched for applicability in the smart grid. In this paper, important application areas of blockchain in the smart grid are discussed. One use case of each area is discussed in detail, suggesting a suitable blockchain architecture, a sample block structure and the potential blockchain technicalities employed in it. The blockchain can be used for peer-to-peer energy trading, where a credit-based payment scheme can enhance the energy trading process. Efficient data aggregation schemes based on the blockchain technology can be used to overcome the challenges related to privacy and security in the grid. Energy distribution systems can also use blockchain to remotely control energy flow to a particular area by monitoring the usage statistics of that area. Further, blockchain-based frameworks can also help in the diagnosis and maintenance of smart grid equipment. We also discuss several commercial implementations of blockchain in the smart grid. Finally, various challenges to be addressed for integrating these two technologies are discussed.

scholarly journals Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario

2020 ◽  
Vol 12 (12) ◽  
pp. 4851 ◽  
Author(s):  
Assunta Di Vaio ◽  
Flavio Boccia ◽  
Loris Landriani ◽  
Rosa Palladino
Keyword(s):  
Artificial Intelligence ◽  
Business Models ◽  
New Technologies ◽  
Food System ◽  
Sustainable Business ◽  
Socially Responsible ◽  
New Business ◽  
Managerial Implications ◽  
Space Economy ◽  
Two Phases

The aim of the paper is to investigate the artificial intelligence (AI) function in agri-food industry, as well as the role of stakeholders in its supply chain. Above all, from the beginning of the new millennium, scholars and practitioners have paid an increasing attention to artificial intelligence (AI) technologies in operational processes management and challenges for new business models, in a sustainable and socially responsible perspective. Thus, the stakeholders can assume a proactive or marginal role in the value creation for business, according to their own environmental awareness. These issues appear still “open” in some industries, such as the agri-food system, where the adoption of new technologies requires rethinking and redesigning the whole business model. Methodologically, we brought forward an in-depth review of the literature about major articles in this field. Especially, the study has been conducted following two phases: firstly, we extracted from scientific databases (Web of Science, Scopus, and Google Scholar) and studied relevant articles; secondly, we analyzed the selected articles. The findings highlight interesting issues about AI towards a “space economy” to achieve sustainable and responsible business models, also in the perspective of the COVID-19 pandemic scenario. Theoretical and managerial implications are discussed.

scholarly journals The panorama between COVID-19 pandemic and Artificial Intelligence (AI): Can it be the catalyst for Society 5.0?

2020 ◽  
Vol 8 (12) ◽  
pp. 2011-2025
Author(s):  
Ariful Islam ◽  
Mahmuda Islam ◽  
Md. Uzir Hossain Uzir ◽  
Sazali Abd Wahab ◽  
Ahmad Shaharudin Abdul Latiff
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
Business Models ◽  
Reliability And Validity ◽  
Systematic Analysis ◽  
Digital Era ◽  
Modern Business ◽  
Local Agencies ◽  
Practical Implications

Purpose: During the COVID-19 pandemic, a new age digital era has emerged; Artificial Intelligence (AI) could be instrumental in keeping this new virus within reasonable limits. AI also has the potential to transform communities into super smart Society 5.0. So, the main target of the study is to analyze AI-focused Society 5.0 configuration through the lens of the present emergency. Design/Methodology/Approach: A systematic analysis of literature has been executed to discuss the AI-focused Society 5.0 configuration triggered by pandemic, in which over 300 publications are read and reviewed by the authors. The reliability and validity of literature analysis have also been established. Findings: The analysis confirms that the COVID-19 emergency can be one of the most important drivers, influencing transformation to Society 5.0 through the implementation of AI. This pandemic sets the perfect platform for global adoption of AI-based Society 5.0 to obtain more ethical human and technology collaboration. Research limitation: Prior empirical attempts are subsequently required to inquiry about the proposed  conceptualization from different perspectives. Practical implications: The findings will act as a realistic roadmap for applying AI technologies to Society 5.0 outline by the incorporation of open source technologies, supportive regulations, and modern business models. Potential approaches emerging from this research are useful to community managers or large corporations partnering with local agencies to increase the opportunities for the long-term success of smart city projects. Social implications: The outcomes of the study will help to solve social and ecological issues aligned with SDGs. It will also create an innovative platform to utilize the working abilities of older segments of society. Originality/Value: This article is the first to discuss AI-focused Society 5.0 configuration to harness the hidden potential of the COVID-19 pandemic.

scholarly journals Ethical Marketing in the Blockchain-Based Sharing Economy: Theoretical Integration and Guiding Insights

2021 ◽  
Author(s):  
Teck Ming Tan ◽  
Jari Salo
Keyword(s):  
Business Models ◽  
Marketing Research ◽  
Sharing Economy ◽  
Future Research ◽  
Sustainable Business ◽  
Blockchain Technology ◽  
Ethical Marketing ◽  
Marketing Activities ◽  
Sustainable Business Models ◽  
Future Research Directions

AbstractSince the introduction of Ethereum in 2015, blockchain technology (BT) has been evolving, and BT has been associated with the concept of the sharing economy by business academics. Despite the marketing research on the sharing economy that has been extensively conducted in the last decade, the linkage between BT and ethical marketing in the sharing economy remains unclear. Through a systematic literature review of 163 articles and a co-citation analysis, this study identifies the key elements of blockchain capabilities, blockchain attributes, and the underlying economic theories of blockchain. It also synthesizes and proposes a shift of ethical marketing logic in the blockchain-based sharing economy that delineates the principles of stakeholder capitalism. The article concludes with a list of future research directions that underline three approaches of stakeholder theory (i.e., the descriptive, instrument, and normative approaches). These directions aim to guide marketing scholars concerning how BT enables an institutionally embedded view of ethical marketing activities and practices that enhance collaborative marketing and subsequently innovate value chains and create sustainable business models in the sharing economy, as well as to the metaverse.

Convergence of AI, ML, and DL for Enabling Smart Intelligence

2021 ◽  
pp. 180-195
Author(s):  
Revathi Rajendran ◽  
Arthi Kalidasan ◽  
Chidhambara Rajan B.
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Smart Grids ◽  
Web Applications ◽  
Heterogeneous Data ◽  
Learning From Experience ◽  
Digital Era ◽  
Huge Data ◽  
Viable Solution

The evolution of digital era and improvements in technology have enabled the growth of a number of devices and web applications leading to the unprecedented generation of huge data on a day-to-day basis from many applications such as industrial automation, social networking cites, healthcare units, smart grids, etc. Artificial intelligence acts as a viable solution for the efficient collection and analyses of the heterogeneous data in large volumes with reduced human effort at low time. Machine learning and deep learning subspaces of artificial intelligence are used for the achievement of smart intelligence in machines to make them intelligent based on learning from experience automatically. Machine learning and deep learning have become two of the most trending, groundbreaking technologies that enable autonomous operations and provide decision making support for data processing systems. The chapter investigates the importance of machine learning and deep learning algorithms in instilling intelligence and providing an overview of machine learning, deep learning platforms.

scholarly journals Redefining smartness in township with Internet of Things & Artificial Intelligence: Dholera city

2020 ◽  
Vol 170 ◽  
pp. 06001
Author(s):  
Raghav Bang ◽  
Manish Patel ◽  
Vasu Garg ◽  
Vishal Kasa ◽  
Jyoti Malhotra ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Water Management ◽  
Internet Of Things ◽  
Waste Management ◽  
Smart City ◽  
Smart Grids ◽  
Carbon Dioxide Emissions ◽  
Smart Cities ◽  
Urban City ◽  
The City

Internet of Things (IoT) with Artificial Intelligence (AI) has the virtue to address the key challenges encountered by the excessive Urban population; contributing to water management, waste management, energy crisis, and many such affairs. The urban city has reached the level of water scarcity with no adequate water supply. The lack of interconnectivity within the city also leads to severe consequences, such as delayed responses to emergency situations along with irregular traffic and infrastructure management. “Dholera” the futuristic city attempt to solve these issues. Dholera is the biggest and India’s first upcoming greenfield smart city solution developed under the Delhi Mumbai Industrial Corridor (DMIC) project in Gujarat, India. We have analyzed a few domains from this township project, to mention a few - Water Management, Waste Management, City Integrated Operation Centre (CIOC) and City portal. This paper spotlights on the novel ideas enhancing the smart city features and the working. Automating the city resources using futuristic technologies like big data analytics, Artificial Intelligence (AI) and the Internet of Things (IoT) would make the city well-functioning. In Dholera city, various sensors are mounted and interconnected to collect the data, monitor it, and communicate the values for dynamic action(s). Dholera has AI-based urban transportation, smart grids, renewable energy, solar power, waste and water management, along with urban farming, contributing to a reduction in carbon dioxide emissions and improving energy, water and managing traffic issues effectively. Smart cities are well classified as the growth bar contributing to the universal economy. This paper presents various models making the Dholera city a Fast Responsive, Sustainable, Intelligent and well-connected township.

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