.png){kind=icon}
返回
A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes
.png){kind=icon}
OA
AI
DOI：10.1016/j.techfore.2023.122373.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents an artificial intelligence algorithmic knowledge transfer approach to the models that have been developed throughout the world for smart grid networks. Many nations are moving forward to implement smarter ways to generate, distribute and network energy, while others are expecting the leading countries to take the initiative and then follow suit. Therefore, we theoretically identify three dimensions of experts' com-petencies-perception, judgment, and decision choice supported by the Throughput Model algorithms for knowledge transfer. Integrating the Throughput Model algorithmic framework and Deming Cycle (i.e., plan, do, check, act), we propose that Information and Communication Technology (ICT) systems influence experts' de-cision making towards implementation of Smart Grids (SG). This model was backed up with the perspectives of 32 global experts as surveyed using Carnegie Mellon Maturity model questions and analyzed the results using PLS to validate the findings and compare them to our enhanced knowledge transfer developed from Deming's PDCA cycle. Our results suggest that these key algorithmic decision-making components are critical in explaining the successful application of planning, doing, checking/ acting, and planning of renewable energy technology as well as for a greener environment.
Keyword:
Artificial intelligence
Algorithms
Decision making
Knowledge management
Throughput model
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
13.3
论文数:
7.8K
被引数:
6.2W
机构
引用论文
The Future Renewable Electric Energy Delivery and Management (FREEDM) System: The Energy Internet.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏分享收藏Super-tough double-network hydrogels reinforced by covalently compositing with silica-nanoparticles通过与二氧化硅纳米颗粒共价复合增强的超韧双网络水凝胶Soft Matter
Soft MatterIF0
PREAI
分享收藏Review:: Knowledge management and knowledge management systems:: Conceptual foundations and research issues评论:: 知识管理和知识管理系统:: 概念基础和研究问题
PREAI
分享收藏
查看更多内容