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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Hurink_Gerards_2016a</id>
		<title>Hurink Gerards 2016a - Revision history</title>
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		<updated>2026-04-16T15:31:50Z</updated>
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		<id>https://www.scipedia.com/wd/index.php?title=Hurink_Gerards_2016a&amp;diff=211762&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 243716094 to Hurink Gerards 2016a</title>
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				<updated>2021-02-12T12:37:34Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_243716094&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 243716094&quot;&gt;Draft Content 243716094&lt;/a&gt; to &lt;a href=&quot;/public/Hurink_Gerards_2016a&quot; title=&quot;Hurink Gerards 2016a&quot;&gt;Hurink Gerards 2016a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:37, 12 February 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Hurink_Gerards_2016a&amp;diff=211761&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  Demand Side Management (DSM) is a popular approach for grid-aware peak-shaving. The most commonly used DSM methods either have no look ahead feature and risk...&quot;</title>
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				<updated>2021-02-12T12:37:30Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  Demand Side Management (DSM) is a popular approach for grid-aware peak-shaving. The most commonly used DSM methods either have no look ahead feature and risk...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Demand Side Management (DSM) is a popular approach for grid-aware peak-shaving. The most commonly used DSM methods either have no look ahead feature and risk deploying flexibility too early, or they plan ahead using predictions, which are in general not very reliable. To counter this, a DSM approach is presented that does not rely on detailed power predictions, but only uses a few easy to predict characteristics. By using these characteristics alone, near optimal results can be achieved for electric vehicle (EV) charging, and a bound on the maximal relative deviation is given. This result is extended to an algorithm that controls a group of EVs such that a transformer peak is avoided, while simultaneously keeping the individual house profiles as flat as possible to avoid cable overloading and for improved power quality. This approach is evaluated using different data sets to compare the results with the state-of-the-art research. The evaluation shows that the presented approach is capable of peak-shaving at the transformer level, while keeping the voltages well within legal bounds, keeping the cable load low and obtaining low losses. Further advantages of the methodology are a low communication overhead, low computational requirements and ease of implementation.&lt;br /&gt;
&lt;br /&gt;
Document type: Article&lt;br /&gt;
&lt;br /&gt;
== Full document ==&lt;br /&gt;
&amp;lt;pdf&amp;gt;Media:Draft_Content_243716094-beopen193-9301-document.pdf&amp;lt;/pdf&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.3390/en9080594 http://dx.doi.org/10.3390/en9080594] under the license https://creativecommons.org/licenses/by&lt;br /&gt;
&lt;br /&gt;
* [https://research.utwente.nl/en/publications/robust-peakshaving-for-a-neighborhood-with-electric-vehicles(ee5b508f-9e6e-4080-858f-8a5d3d06225c).html https://research.utwente.nl/en/publications/robust-peakshaving-for-a-neighborhood-with-electric-vehicles(ee5b508f-9e6e-4080-858f-8a5d3d06225c).html]&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/1996-1073/9/8/594/pdf https://www.mdpi.com/1996-1073/9/8/594/pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://www.mdpi.com/1996-1073/9/8/594/pdf http://www.mdpi.com/1996-1073/9/8/594/pdf],&lt;br /&gt;
: [http://dx.doi.org/10.3390/en9080594 http://dx.doi.org/10.3390/en9080594] under the license cc-by&lt;br /&gt;
&lt;br /&gt;
* [https://www.mdpi.com/1996-1073/9/8/594 https://www.mdpi.com/1996-1073/9/8/594],&lt;br /&gt;
: [https://research.utwente.nl/en/publications/robust-peak-shaving-for-a-neighborhood-with-electric-vehicles https://research.utwente.nl/en/publications/robust-peak-shaving-for-a-neighborhood-with-electric-vehicles],&lt;br /&gt;
: [https://core.ac.uk/display/78042680 https://core.ac.uk/display/78042680],&lt;br /&gt;
: [https://www.mdpi.com/1996-1073/9/8/594/pdf https://www.mdpi.com/1996-1073/9/8/594/pdf],&lt;br /&gt;
: [https://ideas.repec.org/a/gam/jeners/v9y2016i8p594-d74859.html https://ideas.repec.org/a/gam/jeners/v9y2016i8p594-d74859.html],&lt;br /&gt;
: [https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2Fee5b508f-9e6e-4080-858f-8a5d3d06225c https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2Fee5b508f-9e6e-4080-858f-8a5d3d06225c],&lt;br /&gt;
: [https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:8:p:594-:d:74859 https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:8:p:594-:d:74859],&lt;br /&gt;
: [https://econpapers.repec.org/article/gamjeners/v_3a9_3ay_3a2016_3ai_3a8_3ap_3a594-_3ad_3a74859.htm https://econpapers.repec.org/article/gamjeners/v_3a9_3ay_3a2016_3ai_3a8_3ap_3a594-_3ad_3a74859.htm],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2499585228 https://academic.microsoft.com/#/detail/2499585228] under the license https://creativecommons.org/licenses/by/4.0/&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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