Green Resilience: Leveraging Artificial Intelligence for Secure and Sustainable Energy Ecosystems
グリーンレジリエンス：安全で持続可能なエネルギーエコシステムのための人工知能の活用 (AI 翻訳)
Falak Bashir, Shivam Singh
🤖 gxceed AI 要約
日本語
本論文は、AIを活用して電力グリッドのセキュリティと環境持続可能性を同期させる「グリーンレジリエンス」フレームワークを提案する。再生可能エネルギー中心の分散型システムにおいて、AIによる自律的な脅威検知や自己修復、リアルタイム最適化を実現し、高排出予備電源への依存を低減する。また、知的財産権と環境法の役割を分析し、技術革新と脱炭素政策の整合性を論じる。
English
This paper proposes a 'Green Resilience' framework that uses AI to synchronize grid security with environmental sustainability in decentralized renewable energy systems. AI enables autonomous threat detection, self-healing, and real-time optimization, reducing reliance on high-emission backup power. It also examines the role of intellectual property rights and environmental laws in aligning innovation with decarbonization goals.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本はEnergy 4.0と脱炭素社会の実現に向けて、AIを活用したスマートグリッドとサイバーセキュリティの統合が急務である。本フレームワークは、日本の電力システムのレジリエンス強化と再生可能エネルギー導入拡大に示唆を与える。
In the global GX context
Globally, the paper highlights the intersection of AI, energy resilience, and regulatory frameworks, offering insights for ISSB and TCFD-aligned disclosure on climate risk management and technology-driven decarbonization strategies.
👥 読者別の含意
🔬研究者:AI methods for energy optimization and grid resilience are presented, with a novel integration of intellectual property and legal considerations.
🏢実務担当者:Corporate sustainability teams can learn about AI-driven operational efficiencies and the importance of IP protection for proprietary green technologies.
🏛政策担当者:The paper underscores the need for regulatory frameworks that incentivize AI innovation while ensuring compliance with environmental laws and decarbonization targets.
📄 Abstract（原文）
This paper proposes a “Green Resilience” framework for the future of energy systems, integrating Artificial Intelligence (AI) to synchronize grid security with environmental sustainability. As global energy infrastructures transition toward decentralized, renewable-dominated architectures (Energy 4.0), cyber-physical security and ecological stewardship have become inseparable challenges. The proposed framework leverages AI-driven analytics to move beyond traditional reliability, enabling autonomous threat detection, self-healing capabilities, and real-time optimization of Internet of Things (IoT)-enabled smart grids. Simultaneously, AI supports carbon neutrality by reducing dependence on high-emission backup power plants, optimizing energy distribution, and extending the lifespan of critical power assets through predictive maintenance. The study highlights the pivotal role of Intellectual Property Rights (IPR), including patents and trade secrets, in incentivizing innovation in proprietary AI technologies essential for advanced energy systems. It also examines the influence of environmental laws and decarbonization policies in ensuring that technological progress aligns with sustainability goals. By analyzing the intersection of AI, energy resilience, legal protection, and environmental compliance, the paper demonstrates that a robust regulatory and intellectual property framework is crucial for fostering secure, decarbonized, commercially viable, and legally compliant energy ecosystems. Ultimately, AI serves as the bridge connecting energy security, environmental responsibility, and sustainable economic growth.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.52783/dxjb.v38.378first seen 2026-06-16 05:11:07
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