Matches in SemOpenAlex for { <https://semopenalex.org/work/W1915703611> ?p ?o ?g. }
- W1915703611 endingPage "1663" @default.
- W1915703611 startingPage "1650" @default.
- W1915703611 abstract "Demand forecasting plays an important role as a decision support tool in power system management, especially in smart grid and liberalized power market. In this paper, a demand forecasting method is presented by using support vector regression (SVR). The proposed method is applied to practical hourly data of the Greater Tehran Electricity Distribution Company. The SVR parameters are selected by using a grid optimization process and an investigation on different kernel functions. Moreover, correlation analysis is used to find exogenous variables. Acceptable accuracy of load prediction is shown by comparing the result of SVR model to that of the artificial neural networks and the actual data, concluding that the method is applicable to day-ahead spot pricing of electricity in the liberalized power market. Copyright © 2013 John Wiley & Sons, Ltd." @default.
- W1915703611 created "2016-06-24" @default.
- W1915703611 creator A5000496097 @default.
- W1915703611 creator A5020670285 @default.
- W1915703611 creator A5033473735 @default.
- W1915703611 creator A5046159274 @default.
- W1915703611 date "2013-09-11" @default.
- W1915703611 modified "2023-10-06" @default.
- W1915703611 title "Hour-ahead demand forecasting in smart grid using support vector regression (SVR)" @default.
- W1915703611 cites W1968112823 @default.
- W1915703611 cites W1975455363 @default.
- W1915703611 cites W1982363472 @default.
- W1915703611 cites W1984051156 @default.
- W1915703611 cites W1992778383 @default.
- W1915703611 cites W1996949960 @default.
- W1915703611 cites W1999523755 @default.
- W1915703611 cites W2003647412 @default.
- W1915703611 cites W2019198141 @default.
- W1915703611 cites W2026994076 @default.
- W1915703611 cites W2030846484 @default.
- W1915703611 cites W2031153727 @default.
- W1915703611 cites W2038872716 @default.
- W1915703611 cites W2058326618 @default.
- W1915703611 cites W2058791286 @default.
- W1915703611 cites W2071258353 @default.
- W1915703611 cites W2072403301 @default.
- W1915703611 cites W2089815433 @default.
- W1915703611 cites W2092172498 @default.
- W1915703611 cites W2094583358 @default.
- W1915703611 cites W2095731600 @default.
- W1915703611 cites W2097407510 @default.
- W1915703611 cites W2098142388 @default.
- W1915703611 cites W2107212105 @default.
- W1915703611 cites W2108826826 @default.
- W1915703611 cites W2111755801 @default.
- W1915703611 cites W2117825288 @default.
- W1915703611 cites W2125240144 @default.
- W1915703611 cites W2128159432 @default.
- W1915703611 cites W2132591205 @default.
- W1915703611 cites W2136325969 @default.
- W1915703611 cites W2137699278 @default.
- W1915703611 cites W2143391681 @default.
- W1915703611 cites W2155728345 @default.
- W1915703611 cites W2165627882 @default.
- W1915703611 cites W2168138569 @default.
- W1915703611 cites W2480645692 @default.
- W1915703611 cites W2613588517 @default.
- W1915703611 cites W2764791077 @default.
- W1915703611 cites W3123622325 @default.
- W1915703611 cites W4304118855 @default.
- W1915703611 doi "https://doi.org/10.1002/etep.1791" @default.
- W1915703611 hasPublicationYear "2013" @default.
- W1915703611 type Work @default.
- W1915703611 sameAs 1915703611 @default.
- W1915703611 citedByCount "33" @default.
- W1915703611 countsByYear W19157036112015 @default.
- W1915703611 countsByYear W19157036112016 @default.
- W1915703611 countsByYear W19157036112017 @default.
- W1915703611 countsByYear W19157036112018 @default.
- W1915703611 countsByYear W19157036112019 @default.
- W1915703611 countsByYear W19157036112020 @default.
- W1915703611 countsByYear W19157036112021 @default.
- W1915703611 countsByYear W19157036112022 @default.
- W1915703611 countsByYear W19157036112023 @default.
- W1915703611 crossrefType "journal-article" @default.
- W1915703611 hasAuthorship W1915703611A5000496097 @default.
- W1915703611 hasAuthorship W1915703611A5020670285 @default.
- W1915703611 hasAuthorship W1915703611A5033473735 @default.
- W1915703611 hasAuthorship W1915703611A5046159274 @default.
- W1915703611 hasBestOaLocation W19157036111 @default.
- W1915703611 hasConcept C10558101 @default.
- W1915703611 hasConcept C111919701 @default.
- W1915703611 hasConcept C114614502 @default.
- W1915703611 hasConcept C119599485 @default.
- W1915703611 hasConcept C121332964 @default.
- W1915703611 hasConcept C12267149 @default.
- W1915703611 hasConcept C124101348 @default.
- W1915703611 hasConcept C126255220 @default.
- W1915703611 hasConcept C127413603 @default.
- W1915703611 hasConcept C146733006 @default.
- W1915703611 hasConcept C154945302 @default.
- W1915703611 hasConcept C163258240 @default.
- W1915703611 hasConcept C187691185 @default.
- W1915703611 hasConcept C193809577 @default.
- W1915703611 hasConcept C206658404 @default.
- W1915703611 hasConcept C2524010 @default.
- W1915703611 hasConcept C2779438525 @default.
- W1915703611 hasConcept C2983254600 @default.
- W1915703611 hasConcept C33923547 @default.
- W1915703611 hasConcept C41008148 @default.
- W1915703611 hasConcept C42475967 @default.
- W1915703611 hasConcept C50644808 @default.
- W1915703611 hasConcept C62520636 @default.
- W1915703611 hasConcept C74193536 @default.
- W1915703611 hasConcept C89227174 @default.
- W1915703611 hasConcept C98045186 @default.
- W1915703611 hasConceptScore W1915703611C10558101 @default.
- W1915703611 hasConceptScore W1915703611C111919701 @default.