Using fuzzy logic to model the behavior of residential electrical utility customers
•Fuzzy logic to model residential user behavior.•Detailed characterization of activation profiles for appliances.•Base for the simulation of demand-side management strategies. Peaks and valleys affecting the efficiency of the power system can be detected by analyzing the load curve. These oscillatio...
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| Veröffentlicht in: | Applied energy 2014-02, Vol.115, p.384-393 |
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| container_title | Applied energy |
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| creator | Zúñiga, K.V. Castilla, I. Aguilar, R.M. |
| description | •Fuzzy logic to model residential user behavior.•Detailed characterization of activation profiles for appliances.•Base for the simulation of demand-side management strategies.
Peaks and valleys affecting the efficiency of the power system can be detected by analyzing the load curve. These oscillations are caused by changes in consumer behavior, mainly consumers in the residential sector. This paper presents the use of fuzzy logic systems to model human behavior related to activation of appliances and lighting at home. Based on this model, the hourly activation profile for each appliance can be obtained and, subsequently, the load curve of the residential sector can be calculated. This model aims at contributing to the simulation of strategies for demand-side management. |
| doi_str_mv | 10.1016/j.apenergy.2013.11.030 |
| format | Article |
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Peaks and valleys affecting the efficiency of the power system can be detected by analyzing the load curve. These oscillations are caused by changes in consumer behavior, mainly consumers in the residential sector. This paper presents the use of fuzzy logic systems to model human behavior related to activation of appliances and lighting at home. Based on this model, the hourly activation profile for each appliance can be obtained and, subsequently, the load curve of the residential sector can be calculated. This model aims at contributing to the simulation of strategies for demand-side management.</description><subject>Activation</subject><subject>Applied sciences</subject><subject>Customers</subject><subject>Energy</subject><subject>Exact sciences and technology</subject><subject>Fuzzy logic</subject><subject>Human behavior</subject><subject>Illumination</subject><subject>Load curve</subject><subject>Oscillations</subject><subject>Residential</subject><subject>Residential sector</subject><subject>Strategy</subject><issn>0306-2619</issn><issn>1872-9118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkE9r3DAQxUVpIdukXyHoUujF7oykle1bS-g_CPTQ5ixkabzR4rW2khzYfPoobNprTzMM773h_Ri7RmgRUH_ct_ZIC6XdqRWAskVsQcIrtsG-E82A2L9mm3rRjdA4XLC3Oe8BQKCADft1l8Oy49P6-Hjic9wFx0vkh-hp5uWe-Ej39iHExOPEE-XgaSnBzpxmciUFV9e1hDmUE3drLvFAKV-xN5OdM717mZfs7uuX3zffm9uf337cfL5tnFJYGqGUF94PutuCdjCi1th5hA7VZIUcRAcwKA2T1OBo0KMGGkfSWwCprN_KS_bhnHtM8c9KuZhDyI7m2S4U12yw5speD72qUn2WuhRzTjSZYwoHm04GwTxTNHvzl6J5pmgQTWVWje9ffthcy07JLi7kf27Ro4ROyar7dNZRLfwQKJnsAi2OfEiVlPEx_O_VEyqYi2Q</recordid><startdate>20140215</startdate><enddate>20140215</enddate><creator>Zúñiga, K.V.</creator><creator>Castilla, I.</creator><creator>Aguilar, R.M.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TA</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140215</creationdate><title>Using fuzzy logic to model the behavior of residential electrical utility customers</title><author>Zúñiga, K.V. ; Castilla, I. ; Aguilar, R.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-244d2dd967506c0b16617d10714fa23927009460f360ce96b60ebbe650034ad53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Activation</topic><topic>Applied sciences</topic><topic>Customers</topic><topic>Energy</topic><topic>Exact sciences and technology</topic><topic>Fuzzy logic</topic><topic>Human behavior</topic><topic>Illumination</topic><topic>Load curve</topic><topic>Oscillations</topic><topic>Residential</topic><topic>Residential sector</topic><topic>Strategy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zúñiga, K.V.</creatorcontrib><creatorcontrib>Castilla, I.</creatorcontrib><creatorcontrib>Aguilar, R.M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Applied energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zúñiga, K.V.</au><au>Castilla, I.</au><au>Aguilar, R.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using fuzzy logic to model the behavior of residential electrical utility customers</atitle><jtitle>Applied energy</jtitle><date>2014-02-15</date><risdate>2014</risdate><volume>115</volume><spage>384</spage><epage>393</epage><pages>384-393</pages><issn>0306-2619</issn><eissn>1872-9118</eissn><coden>APENDX</coden><abstract>•Fuzzy logic to model residential user behavior.•Detailed characterization of activation profiles for appliances.•Base for the simulation of demand-side management strategies.
Peaks and valleys affecting the efficiency of the power system can be detected by analyzing the load curve. These oscillations are caused by changes in consumer behavior, mainly consumers in the residential sector. This paper presents the use of fuzzy logic systems to model human behavior related to activation of appliances and lighting at home. Based on this model, the hourly activation profile for each appliance can be obtained and, subsequently, the load curve of the residential sector can be calculated. This model aims at contributing to the simulation of strategies for demand-side management.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.apenergy.2013.11.030</doi><tpages>10</tpages></addata></record> |
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| ispartof | Applied energy, 2014-02, Vol.115, p.384-393 |
| issn | 0306-2619 1872-9118 |
| language | eng |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Activation Applied sciences Customers Energy Exact sciences and technology Fuzzy logic Human behavior Illumination Load curve Oscillations Residential Residential sector Strategy |
| title | Using fuzzy logic to model the behavior of residential electrical utility customers |
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