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	<title>Comments on: How big data can tackle commercial building energy</title>
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	<link>http://gigaom.com/2012/02/15/how-big-data-can-tackle-commercial-energy/</link>
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		<title>By: Katie Fehrenbacher</title>
		<link>http://gigaom.com/2012/02/15/how-big-data-can-tackle-commercial-energy/#comment-810301</link>
		<dc:creator><![CDATA[Katie Fehrenbacher]]></dc:creator>
		<pubDate>Thu, 16 Feb 2012 19:12:13 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=485339#comment-810301</guid>
		<description><![CDATA[@C. I hear you, perhaps we&#039;ve been abusing it. But, I&#039;ll have to warn you, we&#039;ll probably use it again!]]></description>
		<content:encoded><![CDATA[<p>@C. I hear you, perhaps we&#8217;ve been abusing it. But, I&#8217;ll have to warn you, we&#8217;ll probably use it again!</p>
]]></content:encoded>
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		<title>By: C</title>
		<link>http://gigaom.com/2012/02/15/how-big-data-can-tackle-commercial-energy/#comment-809986</link>
		<dc:creator><![CDATA[C]]></dc:creator>
		<pubDate>Wed, 15 Feb 2012 19:40:34 +0000</pubDate>
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		<description><![CDATA[If I see the term &quot;big data&quot; on this site one more time, I will officially  boycot. The scale of data here is not &quot;big&quot; by IT standards.]]></description>
		<content:encoded><![CDATA[<p>If I see the term &#8220;big data&#8221; on this site one more time, I will officially  boycot. The scale of data here is not &#8220;big&#8221; by IT standards.</p>
]]></content:encoded>
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		<title>By: james ferguson</title>
		<link>http://gigaom.com/2012/02/15/how-big-data-can-tackle-commercial-energy/#comment-809921</link>
		<dc:creator><![CDATA[james ferguson]]></dc:creator>
		<pubDate>Wed, 15 Feb 2012 16:31:13 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=485339#comment-809921</guid>
		<description><![CDATA[Great article and in this case singing to the choir -  I am convinced - It is clear that scope exists for enhancement of efficiency of existing building stock.  

However while big capital buildings grab headlines for their expensive retrofit and new-builds focus on Zero carbon and LEED ratings there is a huge opportunity in the mass of boring but essential and significant building stock that will never see tens of millions spent, but none-the-less for a very low investment in non-intrusive data-models based on consumption and weather load can see identification of often huge performance anomalies.

Pulling up the lowest common denominator is arguably less &quot;sexy&quot; but simple disciplines like weather compensation, good schedule keeping and appropriate monitoring and dimensioning of plant will make a huge difference over the coming years.]]></description>
		<content:encoded><![CDATA[<p>Great article and in this case singing to the choir &#8211;  I am convinced &#8211; It is clear that scope exists for enhancement of efficiency of existing building stock.  </p>
<p>However while big capital buildings grab headlines for their expensive retrofit and new-builds focus on Zero carbon and LEED ratings there is a huge opportunity in the mass of boring but essential and significant building stock that will never see tens of millions spent, but none-the-less for a very low investment in non-intrusive data-models based on consumption and weather load can see identification of often huge performance anomalies.</p>
<p>Pulling up the lowest common denominator is arguably less &#8220;sexy&#8221; but simple disciplines like weather compensation, good schedule keeping and appropriate monitoring and dimensioning of plant will make a huge difference over the coming years.</p>
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