RealtimeGen: An Intervenable AI Image Generation System for Commercial Digital Art Asset Creators DOI
Zejian Li, Ying Zhang, Shengzhe Zhou

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Aug. 7, 2024

Recent advances in artificial intelligence-generated content (AIGC) have led to the rapid generation of high-quality images. AIGC has attracted attention commercial digital art asset creators. Traditional artist-led processes contrast with current AI tools that often reduce creators passive roles. This study examines integration image into art, emphasizing importance preserving creators' creative autonomy. Our formative (S1) involved interviews creators, highlighting a need for greater control and transparency AI-assisted painting. In response, we developed RealtimeGen, an integrated tool merges human creativity AI's capabilities, allowing intervene generative process. A user (S2) comparing RealtimeGen popular Stable Diffusion was also carried out. The results showed its enhanced experience workflow compatibility. work contributes understanding improving painting workflows offering them agency.

Language: Английский

Smart grids and renewable energy systems: Perspectives and grid integration challenges DOI Creative Commons
Muhammad Khalid

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 51, P. 101299 - 101299

Published: Jan. 1, 2024

Language: Английский

Citations

176

Revolutionizing the circular economy through new technologies: A new era of sustainable progress DOI Creative Commons
Eduardo Sánchez‐García, Javier Martínez‐Falcó, Bartolomé Marco‐Lajara

et al.

Environmental Technology & Innovation, Journal Year: 2023, Volume and Issue: 33, P. 103509 - 103509

Published: Dec. 29, 2023

Nowadays the pace of production and consumption is reaching environmentally unsustainable levels. In this regard, great technological advances developed in recent years are postulated as a source opportunities to boost circular economy sustainable development. This wide range possibilities offered by new technologies create more reality has aroused curiosity interest academic world, especially years. The main objective research reveal challenges that arise when incorporating objectives economy. Regarding methodology, study been partially supported using bibliometric techniques. results highlight transformative role technologies, blockchain artificial intelligence, advancing economy, with particular emphasis on community technology integration, ethical considerations, synergies, business models, burgeoning bioeconomy. We conclude promise enhanced resource efficiency, optimized supply chains, innovative improved product lifecycle management, offering profound economic environmental benefits while fostering collaborative innovation. However, these also represent address, such integrating advanced methods, ensuring chain transparency, overcoming skill gap, avoiding data centralization, adapting regulatory frameworks foster equitable growth. These some most important areas for further research, those related development employees' capabilities adaptation frameworks, they understudied gaps.

Language: Английский

Citations

91

A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects DOI
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 67, P. 1009 - 1025

Published: Jan. 19, 2024

Language: Английский

Citations

56

Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy DOI
Meng Qin, Wei Hu, Xinzhou Qi

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107403 - 107403

Published: Feb. 12, 2024

Language: Английский

Citations

47

AI-Driven Urban Energy Solutions—From Individuals to Society: A Review DOI Creative Commons
Kinga Stecuła, Radosław Wolniak,

Wieslaw Grebski

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(24), P. 7988 - 7988

Published: Dec. 9, 2023

This paper provides a comprehensive review of solutions based on artificial intelligence (AI) in the urban energy sector, with focus their applications and impacts. The study employed literature methodology to analyze recent research AI’s role energy-related solutions, covering years 2019 2023. authors classified publications according main focus, resulting two key areas AI implementation: residential individual user applications, infrastructure integration for society. objectives this are following: O1: identify trends, emerging technologies, using field; O2: provide up-to-date insights into use applications; O3: gain understanding current state AI-driven solutions; O4: explore future directions, challenges field solutions. contributes deeper transformative potential management, providing valuable directions researchers practitioners field. Based results, it can be claimed that connected at homes is used following areas: heating cooling, lighting, windows blinds, home devices, management systems. integrating through solutions: enhancement electric vehicle charging infrastructure, reduction emissions, development smart grids, efficient storage. What more, latest associated implementation include need balance resident comfort efficiency homes, ensuring compatibility cooperation among various preventing unintended consumption increases due constant connectivity, renewable sources, coordination consumption.

Language: Английский

Citations

43

On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security DOI Creative Commons
Alexandr Kuznetsov, Paolo Sernani, Luca Romeo

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 3881 - 3897

Published: Jan. 1, 2024

As reliance on disruptive applications based Artificial Intelligence (AI) and Blockchain grows, the need for secure trustworthy solutions becomes ever more critical. Whereas much research has been conducted AI Blockchain, there is a shortage of comprehensive studies examining their integration from security perspective. Hence, this survey addresses such gap provides insights policymakers, researchers, practitioners exploiting Blockchain's evolving integration. Specifically, paper analyzes potential benefits as well related concerns, identifying possible mitigation strategies, suggesting regulatory measures, describing impact it public trust.

Language: Английский

Citations

33

A review on machine learning techniques for secured cyber-physical systems in smart grid networks DOI Creative Commons
Mohammad Kamrul Hasan, Rabiu Aliyu Abdulkadir, Shayla Islam

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 1268 - 1290

Published: Jan. 9, 2024

The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power infrastructure with information and communication technologies (ICT). This integration enables real-time monitoring, control, optimization of electricity demand supply. However, the increasing reliance on ICT infrastructures has made SG-CPS more vulnerable to cyberattacks. Hence, securing from these threats crucial for its reliable operation. In recent literature, machine learning (ML) techniques and, recently, deep (DL) have been used by several studies implement cybersecurity countermeasures against cyberattacks in SG-CPS. Nevertheless, achieving high performance state-of-the-art constrained certain challenges, including hyperparameter optimization, feature extraction selection, lack models' transparency, data privacy, attack data. paper reviews advancement using ML DL It analyzes constraints need be addressed improve achieve implementation. various types cyberattacks, requirements, security standards protocols are also discussed establish a comprehensive understanding context will serve as guide new experienced researchers.

Language: Английский

Citations

25

Assessing the Impact of Digitalization, Tax Revenues, and Energy Resource Capacity on Environmental Quality: Fresh Evidence from CS-ARDL in the EKC Framework DOI Open Access
Adel Ben Youssef, Mounir Dahmani

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 474 - 474

Published: Jan. 5, 2024

This study examines the dynamic relationships between digitalization, environmental tax revenues, and energy resource capacity within framework of Environmental Kuznets Curve (EKC), focusing on their combined impact quality. It employs a cross-sectional augmented autoregressive distributed lag (CS-ARDL) approach, an advanced technique for complex panel data that is specifically designed to address issues dependence slope heterogeneity inherent in analysis. The research covers 88 countries, including both low- middle-income countries (LMICs) high-income (HICs), understand how as driving force Fourth Industrial Revolution, interacts with taxation management affect greenhouse gas emissions. results reveal distinct effects taxes quality, marked differences LMICs HICs. In HICs, technological progress, especially information communication technology (ICT), found contribute significantly For LMICs, are less evident, findings suggest need tailored strategies policy management. By providing empirical evidence differential impacts digitalization policies different economic contexts, this enriches economics discourse. highlights frameworks specific contexts effectively balance growth sustainable development goals, thereby insightful implications achieving Sustainable Development Goals (SDGs).

Language: Английский

Citations

18

The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis DOI
Yufei Zhong,

Xuesheng Chen,

Zhixian Wang

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107479 - 107479

Published: March 18, 2024

Language: Английский

Citations

17

Security of Smart Grid: Cybersecurity Issues, Potential Cyberattacks, Major Incidents, and Future Directions DOI Creative Commons
Mohammad Ahmed Alomari, Mohammed Nasser Al-Andoli, Mukhtar Ghaleb

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(1), P. 141 - 141

Published: Jan. 1, 2025

Despite the fact that countless IoT applications are arising frequently in various fields, such as green cities, net-zero decarbonization, healthcare systems, and smart vehicles, grid is considered most critical cyber–physical application. With emerging technologies supporting much-anticipated energy particularly grid, these systems will continue to profoundly transform our way of life environment. Energy have improved over past ten years terms intelligence, efficiency, decentralization, ICT usage. On other hand, cyber threats attacks against greatly expanded a result enormous spread sensors devices inside sector well traditional power grids. In order detect mitigate vulnerabilities while increasing security grids, thorough investigation in-depth research highly required. This study offers comprehensive overview state-of-the-art cybersecurity research. this work, we primarily concentrate on examining numerous cyberattacks recently invaded developing general grids particular. begins by introducing architecture, it key components, its issues. Then, present spectrum highlighting significant studies been documented literature. The categorization cyberattacks, taking into account information characteristics, can help make possible provide organized effective solutions for potential applications. cyberattack classification covered thoroughly paper. also discusses historical incidents which depicts how harsh disastrous go if not detected mitigated. Finally, summary latest future trend open

Language: Английский

Citations

2