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确保电网人工智能在电力系统网络韧性方面的承诺.pdf

上传人: 可*** 编号:991887 2025-12-07 11页 158.28MB

1、Securing the Grid:AIs Promise for Cyber Resilience in Power SystemsRichard MacwanManager,Cyber Resilience Science Group03/31/2025NREL|2NREL|2Power Grids:The Backbone of AI and SocietyUS electricity consumption to hit 4,239B kWh by 2026(AI/data centers drive 27%of demand)*Data centers could consume 8

2、%of global electricity by 2030(up from 3%)*https:/ Rising Cyber ThreatThe U.S.accounted for 47%of all global cyberattacks targeting utilities*Cyberattacks on the utilities sector grew by an alarming 234%year-over-year by Q3 2024*https:/ Credit:https:/ Resilience:Grand Challenges Cyber Resilience:Abi

3、lity to not just prevent and defend against cyber attacks,but to withstand,recover,and adapt.Rapid increase in the scale of data and devices beyond human cognitionRapid increase in the diversity of devices,systems,and users Complex cyber physical interactions complicate decision makingTrustworthy an

4、d timely decisions for safe and reliable operationsNREL|5NREL|5AI in Preparation:Building Fortified FoundationsPredictive Risk Modeling:Analyzes historical breaches to learn and explore new topologies for a more resilient networkGraph Recurrent Attention Networks learns and generates new and more re

5、silient network realizationsLarge Language Models to extract,formalize,and verify compliance and standards requirements at scale.LLMsStandardsStructured ComplianceAutomated Compliance:From subjective assessments to scalable,verifiable and automated complianceNREL|6NREL|6AI in Defense:Smarter Threat

6、Detection Detection with Cyber and Physical:Leverage combined cyber and physical system data for a more accurate anomaly detectionExplainable and Contextual Detections:Generate system interpretable and contextual explanations for actionable and trustworthy detectionNREL|7NREL|7AI in Withstanding Att

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根据《Securing the Grid: AI's Promise for CyberResilience in Power Systems》一文,主要内容如下: - **电力需求增长**:预计到2026年,美国电力消耗将达4239B kWh,数据中心需求占27%。 - **网络安全威胁**:美国占全球针对公用事业部门的网络攻击的47%,2024年第三季度同比增加234%。 - **AI在网络安全中的应用**: - **预测风险建模**:利用历史数据学习新网络拓扑,增强网络韧性。 - **自动化合规**:通过AI实现合规性评估的规模化和可验证性。 - **威胁检测**:结合网络和物理系统数据,进行更准确的异常检测。 - **自动响应**:利用强化学习实时控制,抵御网络攻击。 - **快速恢复**:通过强化学习加速关键资产的恢复。 - **集体责任**:网络安全是协作努力,信息共享和基于AI的集体网络防御至关重要。
"AI如何守护电网安全?" 速度超越人类?" "AI助力电网恢复,效率翻倍!"
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