Matches in SemOpenAlex for { <https://semopenalex.org/work/W2262133260> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2262133260 abstract "Since load forecasting plays an important role in the planning and operation of power industry, substantial efforts are made in improving the accuracy and reliability of load forecasting. In this paper, we develop a novel hybrid approach based on phase space reconstruction and least square support vector for the short-term load forecasting. However, the proper parameters in phase space reconstruction and least square vector machine have a significant effect on the forecasting performance, and there is no standard solution for the parameter estimation problem. Therefore, in this paper, the genetic algorithm (GA) approach is employed to optimize the parameters of both phase space reconstruction and least square support vector machine together. The experimental results suggest that the joint optimization parameter is superior to the separate optimization solutions." @default.
- W2262133260 created "2016-06-24" @default.
- W2262133260 creator A5008261239 @default.
- W2262133260 creator A5011007050 @default.
- W2262133260 creator A5019343493 @default.
- W2262133260 creator A5084939124 @default.
- W2262133260 date "2015-01-01" @default.
- W2262133260 modified "2023-09-27" @default.
- W2262133260 title "The Application of Joint Optimization Method using GA for Load Forecasting" @default.
- W2262133260 cites W1496317909 @default.
- W2262133260 cites W1639032689 @default.
- W2262133260 cites W1979152931 @default.
- W2262133260 cites W1991346019 @default.
- W2262133260 cites W2028811591 @default.
- W2262133260 cites W2031365860 @default.
- W2262133260 cites W2044645462 @default.
- W2262133260 cites W2046240608 @default.
- W2262133260 cites W2055917160 @default.
- W2262133260 cites W2073002835 @default.
- W2262133260 cites W2081760759 @default.
- W2262133260 cites W2085087091 @default.
- W2262133260 cites W2090733552 @default.
- W2262133260 cites W2100613615 @default.
- W2262133260 cites W2110745155 @default.
- W2262133260 cites W2125117291 @default.
- W2262133260 cites W2127842029 @default.
- W2262133260 cites W2142741273 @default.
- W2262133260 cites W3101226418 @default.
- W2262133260 doi "https://doi.org/10.2991/icmmcce-15.2015.470" @default.
- W2262133260 hasPublicationYear "2015" @default.
- W2262133260 type Work @default.
- W2262133260 sameAs 2262133260 @default.
- W2262133260 citedByCount "0" @default.
- W2262133260 crossrefType "proceedings-article" @default.
- W2262133260 hasAuthorship W2262133260A5008261239 @default.
- W2262133260 hasAuthorship W2262133260A5011007050 @default.
- W2262133260 hasAuthorship W2262133260A5019343493 @default.
- W2262133260 hasAuthorship W2262133260A5084939124 @default.
- W2262133260 hasBestOaLocation W22621332601 @default.
- W2262133260 hasConcept C126255220 @default.
- W2262133260 hasConcept C127413603 @default.
- W2262133260 hasConcept C18555067 @default.
- W2262133260 hasConcept C33923547 @default.
- W2262133260 hasConcept C41008148 @default.
- W2262133260 hasConcept C66938386 @default.
- W2262133260 hasConceptScore W2262133260C126255220 @default.
- W2262133260 hasConceptScore W2262133260C127413603 @default.
- W2262133260 hasConceptScore W2262133260C18555067 @default.
- W2262133260 hasConceptScore W2262133260C33923547 @default.
- W2262133260 hasConceptScore W2262133260C41008148 @default.
- W2262133260 hasConceptScore W2262133260C66938386 @default.
- W2262133260 hasLocation W22621332601 @default.
- W2262133260 hasOpenAccess W2262133260 @default.
- W2262133260 hasPrimaryLocation W22621332601 @default.
- W2262133260 hasRelatedWork W2027246577 @default.
- W2262133260 hasRelatedWork W2029377613 @default.
- W2262133260 hasRelatedWork W2030530201 @default.
- W2262133260 hasRelatedWork W2351267244 @default.
- W2262133260 hasRelatedWork W2588654762 @default.
- W2262133260 hasRelatedWork W2769732585 @default.
- W2262133260 hasRelatedWork W2806252174 @default.
- W2262133260 hasRelatedWork W2963121211 @default.
- W2262133260 hasRelatedWork W3011555937 @default.
- W2262133260 hasRelatedWork W3096054746 @default.
- W2262133260 isParatext "false" @default.
- W2262133260 isRetracted "false" @default.
- W2262133260 magId "2262133260" @default.
- W2262133260 workType "article" @default.