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		<title>AI Learns From a Model Teacher to Keep Multi-Microgrid Frequencies Stable</title>
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		<pubDate>Sun, 18 Oct 2026 03:42:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[control]]></category>
		<category><![CDATA[coordinated]]></category>
		<category><![CDATA[electric vehicles]]></category>
		<category><![CDATA[Frequency]]></category>
		<category><![CDATA[frequency stability]]></category>
		<category><![CDATA[load frequency control]]></category>
		<category><![CDATA[microgrid]]></category>
		<category><![CDATA[model predictive control]]></category>
		<category><![CDATA[multi-agent systems]]></category>
		<category><![CDATA[multi-microgrids]]></category>
		<category><![CDATA[Reinforcement Learning]]></category>
		<category><![CDATA[Renewable Energy]]></category>
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					<description><![CDATA[A new MARL framework guided by MPC expert knowledge achieves coordinated frequency control across interconnected microgrids, with pass rates up to 99.7 percent under extreme scenarios.]]></description>
		
		
		
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