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		<title>How You Picture the Wind Changes What AI Predicts in Offshore Wind Farms</title>
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		<pubDate>Mon, 26 Oct 2026 20:14:48 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[aeroelastic simulation]]></category>
		<category><![CDATA[convolutional neural network]]></category>
		<category><![CDATA[electrical power prediction]]></category>
		<category><![CDATA[fatigue loads]]></category>
		<category><![CDATA[HAWC2Farm]]></category>
		<category><![CDATA[Lillgrund]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[offshore wind farms]]></category>
		<category><![CDATA[principal component analysis]]></category>
		<category><![CDATA[rotor-plane inflow]]></category>
		<category><![CDATA[surrogate modelling]]></category>
		<category><![CDATA[wind energy]]></category>
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					<description><![CDATA[A study of the Lillgrund offshore wind farm shows that the best way to represent rotor-plane wind fields for machine-learning surrogates depends on whether the target is electrical power or fatigue loads.]]></description>
		
		
		
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