How Smart is the Grid?

• URL: http://arxiv.org/abs/2006.04943v2
• Date: Wed, 24 Jun 2020 14:29:08 GMT
• Title: How Smart is the Grid?
• Authors: Ermanno Lo Cascio, Zhenjun Ma and Fran\c{c}ois Mar\'echal
• Abstract summary: 'urbs' and 'civitas' tend to become much closer, almost merging, that we might attempt to condensate these into a single concept:'smart grid' Internet of things, artificial intelligence, blockchain, quantum cryptography is only a few of the paradigms that are likely to contribute to determining the final portrait of the future smart grid. The findings are likely to suggest the urgent need for multidisciplinary cooperation to wisely address engineering and ontological challenges around the smart grid concept.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Ancient Romans called 'urbs' the set of buildings and infrastructures, and 'civitas' the Roman citizens. Today instead, while the society is surfing the digital tsunami, 'urbs' and 'civitas' tend to become much closer, almost merging, that we might attempt to condensate these into a single concept: 'smart grid'. Internet of things, artificial intelligence, blockchain, quantum cryptography is only a few of the paradigms that are likely to contribute to determining the final portrait of the future smart grid. However, to understand the effective sustainability of complex grids, specific tools are required. To this end, in this article, a systematic review of the emerging paradigms is presented, identifying intersectoral synergies and limitations with respect to the `smart grid' concept. Further, a taxonomic framework for assessing the level of sustainability of the grid is proposed. Finally, from the scenario portrayed, a set of issues involving engineering, regulation, security, and social frameworks have been derived in a theoretical fashion. The findings are likely to suggest the urgent need for multidisciplinary cooperation to wisely address engineering and ontological challenges gravitating around the smart grid concept.

Related papers

• From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks [56.51893966016221]
  Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing and Graph Neural Networks (GNNs) This paper critically reviews the state-of-the-art in QGNNs, exploring various architectures. We discuss their applications across diverse fields such as high-energy physics, molecular chemistry, finance and earth sciences, highlighting the potential for quantum advantage.
  arXiv  Detail & Related papers  (2024-08-12T22:53:14Z)
• GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction [53.2306792009435]
  We propose GAN-GRID a novel adversarial attack targeting the stability prediction system of a smart grid tailored to real-world constraints. Our findings reveal that an adversary armed solely with the stability model's output, devoid of data or model knowledge, can craft data classified as stable with an Attack Success Rate (ASR) of 0.99.
  arXiv  Detail & Related papers  (2024-05-20T14:43:46Z)
• Cybersecurity for Modern Smart Grid against Emerging Threats [10.342330124012122]
  The book focuses on the sources of the cybersecurity issues, the taxonomy of threats, and the survey of various approaches to overcome or mitigate such threats. It covers the state-of-the-art research results in recent years, along with remaining open challenges.
  arXiv  Detail & Related papers  (2024-04-06T01:31:33Z)
• What Planning Problems Can A Relational Neural Network Solve? [91.53684831950612]
  We present a circuit complexity analysis for relational neural networks representing policies for planning problems. We show that there are three general classes of planning problems, in terms of the growth of circuit width and depth. We also illustrate the utility of this analysis for designing neural networks for policy learning.
  arXiv  Detail & Related papers  (2023-12-06T18:47:28Z)
• Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks [63.246437631458356]
  Next-generation wireless networks (e.g., 6G) will be artificial intelligence (AI)-native. This article introduces a novel framework for building AI-native wireless networks; grounded in the emerging field of causal reasoning. We highlight several wireless networking challenges that can be addressed by causal discovery and representation.
  arXiv  Detail & Related papers  (2023-09-23T00:05:39Z)
• A Review On Game Theory With Smart Grid Security [0.0]
  Game theory provides effective insights in the analysis of security measures for smart grid. The mentioned parties will be the players in the game model to provide a solution for the various threats to the grid aspects.
  arXiv  Detail & Related papers  (2023-04-23T20:06:18Z)
• Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication [85.06664206117088]
  6G networks must consider semantics and effectiveness (at end-user) of the data transmission. NeSy AI is proposed as a pillar for learning causal structure behind the observed data. GFlowNet is leveraged for the first time in a wireless system to learn the probabilistic structure which generates the data.
  arXiv  Detail & Related papers  (2022-05-22T07:11:57Z)
• A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grid [3.88835600711547]
  Modern electric power grid, known as the Smart Grid, has fast transformed the isolated and centrally controlled power system to a fast and massively connected cyber-physical system. The synergy of a vast number of cyber-physical entities has allowed the Smart Grid to be much more effective and sustainable in meeting the growing global energy challenges. However, it has also brought with it a large number of vulnerabilities resulting in breaches of data integrity, confidentiality and availability.
  arXiv  Detail & Related papers  (2021-03-30T05:36:09Z)
• Towards Self-learning Edge Intelligence in 6G [143.1821636135413]
  Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and mobile edge computing. In this article, we identify the key requirements and challenges of edge-native AI in 6G.
  arXiv  Detail & Related papers  (2020-10-01T02:16:40Z)
• From Data to Knowledge to Action: Enabling the Smart Grid [0.11726720776908521]
  "The Grid" is a relic based in many respects on century-old technology. Many people are pinning their hopes on the "smart grid" Initial plans for the smart grid suggest it will make extensive use of existing information technology.
  arXiv  Detail & Related papers  (2020-07-31T19:43:48Z)
• A Review of Blockchain-based Smart Grid: Applications,Opportunities, and Future Directions [0.0]
  This paper provides a review of blockchain architecture, concepts, and applications in smart grids. Various potential opportunities for blockchain technology with smart grids are also discussed.
  arXiv  Detail & Related papers  (2020-01-31T07:00:10Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.