A bottom-up approach to residential load modeling
A model of electric residential end-use is proposed for establishing the load diagram of an area by a process of synthesis. The model follows a "bottom-up" approach, allowing construction of the relative load shape of the area, starting from knowledge of its most relevant socioeconomic and...
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| Veröffentlicht in: | IEEE transactions on power systems 1994-05, Vol.9 (2), p.957-964 |
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| container_title | IEEE transactions on power systems |
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| creator | Capasso, A. Grattieri, W. Lamedica, R. Prudenzi, A. |
| description | A model of electric residential end-use is proposed for establishing the load diagram of an area by a process of synthesis. The model follows a "bottom-up" approach, allowing construction of the relative load shape of the area, starting from knowledge of its most relevant socioeconomic and demographic characteristics, unitary energy consumption and the load profiles of individual household appliances. Several probability functions have been introduced in order to cover the close relationship existing between the demand of residential customers and the psychological and behavioral factors typical of the household; the model makes frequent use of the latter through a Monte Carlo extraction process. The model has been applied for the simulation of a residential area where field measurements of power demand had been made at 15-minute intervals and a combined mail survey had been conducted to investigate household energy usage. The paper reports the results of a comparison between recorded and predicted load profiles.< > |
| doi_str_mv | 10.1109/59.317650 |
| format | Article |
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The model follows a "bottom-up" approach, allowing construction of the relative load shape of the area, starting from knowledge of its most relevant socioeconomic and demographic characteristics, unitary energy consumption and the load profiles of individual household appliances. Several probability functions have been introduced in order to cover the close relationship existing between the demand of residential customers and the psychological and behavioral factors typical of the household; the model makes frequent use of the latter through a Monte Carlo extraction process. The model has been applied for the simulation of a residential area where field measurements of power demand had been made at 15-minute intervals and a combined mail survey had been conducted to investigate household energy usage. The paper reports the results of a comparison between recorded and predicted load profiles.< ></description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/59.317650</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>320105 - Energy Conservation, Consumption, & Utilization- Building Services- (1987-) ; 320603 - Energy Conservation, Consumption, & Utilization- Municipalities & Community Systems- Public Utilities- (1980-) ; 990200 - Mathematics & Computers ; A CODES ; Applied sciences ; Area measurement ; COMPUTER CODES ; COMPUTERIZED SIMULATION ; DEMAND ; Demography ; Electrical engineering. Electrical power engineering ; Electrical power engineering ; ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION ; Energy consumption ; Energy measurement ; Exact sciences and technology ; GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE ; Home appliances ; LOAD ANALYSIS ; LOAD MANAGEMENT ; Load modeling ; MANAGEMENT ; Monte Carlo methods ; POWER DEMAND ; Power measurement ; Power networks and lines ; Psychology ; RESIDENTIAL SECTOR ; Shape ; SIMULATION ; Substations</subject><ispartof>IEEE transactions on power systems, 1994-05, Vol.9 (2), p.957-964</ispartof><rights>1994 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-b0859f6d0caedc91309ece300d8f626b6bf52fdbcaf056f99b3046ec912ca4d63</citedby><cites>FETCH-LOGICAL-c333t-b0859f6d0caedc91309ece300d8f626b6bf52fdbcaf056f99b3046ec912ca4d63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/317650$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,309,310,314,778,782,787,788,794,883,23917,23918,25127,27911,27912,54745</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/317650$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=4149441$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/7007889$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Capasso, A.</creatorcontrib><creatorcontrib>Grattieri, W.</creatorcontrib><creatorcontrib>Lamedica, R.</creatorcontrib><creatorcontrib>Prudenzi, A.</creatorcontrib><title>A bottom-up approach to residential load modeling</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>A model of electric residential end-use is proposed for establishing the load diagram of an area by a process of synthesis. The model follows a "bottom-up" approach, allowing construction of the relative load shape of the area, starting from knowledge of its most relevant socioeconomic and demographic characteristics, unitary energy consumption and the load profiles of individual household appliances. Several probability functions have been introduced in order to cover the close relationship existing between the demand of residential customers and the psychological and behavioral factors typical of the household; the model makes frequent use of the latter through a Monte Carlo extraction process. The model has been applied for the simulation of a residential area where field measurements of power demand had been made at 15-minute intervals and a combined mail survey had been conducted to investigate household energy usage. The paper reports the results of a comparison between recorded and predicted load profiles.< ></description><subject>320105 - Energy Conservation, Consumption, & Utilization- Building Services- (1987-)</subject><subject>320603 - Energy Conservation, Consumption, & Utilization- Municipalities & Community Systems- Public Utilities- (1980-)</subject><subject>990200 - Mathematics & Computers</subject><subject>A CODES</subject><subject>Applied sciences</subject><subject>Area measurement</subject><subject>COMPUTER CODES</subject><subject>COMPUTERIZED SIMULATION</subject><subject>DEMAND</subject><subject>Demography</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION</subject><subject>Energy consumption</subject><subject>Energy measurement</subject><subject>Exact sciences and technology</subject><subject>GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE</subject><subject>Home appliances</subject><subject>LOAD ANALYSIS</subject><subject>LOAD MANAGEMENT</subject><subject>Load modeling</subject><subject>MANAGEMENT</subject><subject>Monte Carlo methods</subject><subject>POWER DEMAND</subject><subject>Power measurement</subject><subject>Power networks and lines</subject><subject>Psychology</subject><subject>RESIDENTIAL SECTOR</subject><subject>Shape</subject><subject>SIMULATION</subject><subject>Substations</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNo90E1LxDAQBuAgCq6rB6-eiojgoeukbdLkuCx-wYIXPYc0mbiRtqlN9uC_t0sXT3N4n3kZhpBrCitKQT4yuSppzRmckAVlTOTAa3lKFiAEy4VkcE4uYvwGAD4FC0LXWRNSCl2-HzI9DGPQZpelkI0YvcU-ed1mbdA264LF1vdfl-TM6Tbi1XEuyefz08fmNd--v7xt1tvclGWZ8gYEk45bMBqtkbQEiQZLACscL3jDG8cKZxujHTDupGxKqDhOsjC6srxcktu5N8TkVTQ-odmZ0PdokqoBaiHkhO5nNB3-s8eYVOejwbbVPYZ9VIWgoqrpAT7M0IwhxhGdGkbf6fFXUVCHzykm1fy5yd4dS3U0unWj7o2P_wsVrWRV0YndzMwj4n967PgD9Zl0VQ</recordid><startdate>19940501</startdate><enddate>19940501</enddate><creator>Capasso, A.</creator><creator>Grattieri, W.</creator><creator>Lamedica, R.</creator><creator>Prudenzi, A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>OTOTI</scope></search><sort><creationdate>19940501</creationdate><title>A bottom-up approach to residential load modeling</title><author>Capasso, A. ; Grattieri, W. ; Lamedica, R. ; Prudenzi, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-b0859f6d0caedc91309ece300d8f626b6bf52fdbcaf056f99b3046ec912ca4d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>320105 - Energy Conservation, Consumption, & Utilization- Building Services- (1987-)</topic><topic>320603 - Energy Conservation, Consumption, & Utilization- Municipalities & Community Systems- Public Utilities- (1980-)</topic><topic>990200 - Mathematics & Computers</topic><topic>A CODES</topic><topic>Applied sciences</topic><topic>Area measurement</topic><topic>COMPUTER CODES</topic><topic>COMPUTERIZED SIMULATION</topic><topic>DEMAND</topic><topic>Demography</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION</topic><topic>Energy consumption</topic><topic>Energy measurement</topic><topic>Exact sciences and technology</topic><topic>GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE</topic><topic>Home appliances</topic><topic>LOAD ANALYSIS</topic><topic>LOAD MANAGEMENT</topic><topic>Load modeling</topic><topic>MANAGEMENT</topic><topic>Monte Carlo methods</topic><topic>POWER DEMAND</topic><topic>Power measurement</topic><topic>Power networks and lines</topic><topic>Psychology</topic><topic>RESIDENTIAL SECTOR</topic><topic>Shape</topic><topic>SIMULATION</topic><topic>Substations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Capasso, A.</creatorcontrib><creatorcontrib>Grattieri, W.</creatorcontrib><creatorcontrib>Lamedica, R.</creatorcontrib><creatorcontrib>Prudenzi, A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Capasso, A.</au><au>Grattieri, W.</au><au>Lamedica, R.</au><au>Prudenzi, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A bottom-up approach to residential load modeling</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>1994-05-01</date><risdate>1994</risdate><volume>9</volume><issue>2</issue><spage>957</spage><epage>964</epage><pages>957-964</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>A model of electric residential end-use is proposed for establishing the load diagram of an area by a process of synthesis. The model follows a "bottom-up" approach, allowing construction of the relative load shape of the area, starting from knowledge of its most relevant socioeconomic and demographic characteristics, unitary energy consumption and the load profiles of individual household appliances. Several probability functions have been introduced in order to cover the close relationship existing between the demand of residential customers and the psychological and behavioral factors typical of the household; the model makes frequent use of the latter through a Monte Carlo extraction process. The model has been applied for the simulation of a residential area where field measurements of power demand had been made at 15-minute intervals and a combined mail survey had been conducted to investigate household energy usage. The paper reports the results of a comparison between recorded and predicted load profiles.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/59.317650</doi><tpages>8</tpages></addata></record> |
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| subjects | 320105 - Energy Conservation, Consumption, & Utilization- Building Services- (1987-) 320603 - Energy Conservation, Consumption, & Utilization- Municipalities & Community Systems- Public Utilities- (1980-) 990200 - Mathematics & Computers A CODES Applied sciences Area measurement COMPUTER CODES COMPUTERIZED SIMULATION DEMAND Demography Electrical engineering. Electrical power engineering Electrical power engineering ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION Energy consumption Energy measurement Exact sciences and technology GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE Home appliances LOAD ANALYSIS LOAD MANAGEMENT Load modeling MANAGEMENT Monte Carlo methods POWER DEMAND Power measurement Power networks and lines Psychology RESIDENTIAL SECTOR Shape SIMULATION Substations |
| title | A bottom-up approach to residential load modeling |
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