Artificial Intelligence for Resilient Integrated Energy Systems: a Review and Research Agenda for Smart Climate-Neutral Cities
強靭な統合エネルギーシステムのための人工知能：スマート気候中立都市に向けたレビューと研究課題 (AI 翻訳)
Said Zulfigarzada, Fatulla Alizade
🤖 gxceed AI 要約
日本語
本レビューは、気候中立都市の実現に向け、統合エネルギーシステムの強靱化におけるAIの役割を体系的に整理。需要予測、再生可能エネ発電予測、故障診断、サイバー防御など多岐にわたる応用を網羅し、物理モデルとのハイブリッド活用が有効と指摘。さらに、レア事象データ不足や解釈可能性といった課題を踏まえた研究ロードマップを提示している。
English
This review systematically examines AI's role in enhancing the resilience of integrated energy systems for climate-neutral cities. It covers applications in demand forecasting, renewable generation prediction, fault diagnosis, and cyber defense, highlighting the effectiveness of hybrid AI-physics models. It also proposes a research agenda addressing challenges such as rare-event data scarcity and interpretability.
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
日本でもスマートシティやレジリエンス強化が進む中、本レビューはAIとエネルギーシステムの統合的視点を提供。特にSSBJや気候関連開示の文脈で、エネルギー強靱化の定量評価にも示唆を与える。
In the global GX context
This review provides a comprehensive framework for applying AI to energy resilience, relevant globally for smart city initiatives and aligned with TCFD/ISSB disclosure on climate resilience. It offers a research agenda that can inform both academic and industrial efforts toward climate-neutral urban energy systems.
👥 読者別の含意
🔬研究者:Provides a structured overview of AI applications and open challenges for energy resilience, with a concrete research agenda for the community.
🏢実務担当者:Highlights practical AI use cases for improving operational resilience in smart grids and microgrids, useful for energy managers and utilities.
🏛政策担当者:Offers insights on how AI can support climate-neutral city planning and energy infrastructure resilience, relevant for urban policy and investment decisions.
📄 Abstract（原文）
The transition toward low-carbon, distributed and strongly interconnected energy systems is improving sustainability, but it is also increasing operational complexity and exposure to extreme weather, cyber-attacks, component unavailability, and cascading failures. This paper reviews recent research on the role of artificial intelligence (AI) in strengthening the resilience of integrated energy systems, smart grids, distributed energy systems, microgrids, and urban energy ecosystems. The literature shows that AI is already being used in demand and renewable generation forecasting, scenario generation, resource adequacy assessment, fault diagnosis, resilient scheduling, cyber-defence, recovery optimization, and cross-sector risk assessment. The review also shows that the best results come from combining data-driven models with physical constraints, domain knowledge, and resilience-oriented operational objectives. At the same time, major challenges remain, including limited rare-event data, weak interpretability, interoperability problems, cyber-security exposure, and insufficient integration of social and economic resilience indicators. Based on these findings, the paper proposes a research agenda aligned with the needs of smart climate-neutral cities: hybrid AI-physics modeling, multi-energy resilience metrics, cyber-physical disruption analysis, and decision support for recovery under uncertainty. The paper argues that AI should be treated as an enabling layer for resilient energy management rather than a replacement for engineering judgment and system planning.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.51582/interconf.19-20.04.2026.019first seen 2026-06-29 08:35:07
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。