Matches in SemOpenAlex for { <https://semopenalex.org/work/W1595044664> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W1595044664 endingPage "043106" @default.
- W1595044664 startingPage "043106" @default.
- W1595044664 abstract "Power load forecasting is a key element for power system management and planning. However, it has been proven to be a hard task due to various unstable factors. This paper presents a forecasting methodology based on this particular type of neural network. The scope of this study presents a solution for short-term load forecasting based on a three-stage model which starts with pattern recognition via self-organizing map (SOM), a clustering of the previous partition by K-means algorithm, and finally demand forecasting for each cluster with back propagation neural network (BPNN) improved by additional momentum and variable learning rate methods. The effectiveness of SOM-K-BPNN model has been verified by the final simulation which shows that the proposed model outperforms the BPNN model with default parameters and Grey System GM (1, 1); therefore, empirical results show that the proposed SOM-K-BPNN model is feasible and can fulfil the short-term load forecasting requirements of China." @default.
- W1595044664 created "2016-06-24" @default.
- W1595044664 creator A5044700284 @default.
- W1595044664 creator A5081146447 @default.
- W1595044664 date "2015-07-01" @default.
- W1595044664 modified "2023-09-24" @default.
- W1595044664 title "Application of improved artificial neural networks in short-term power load forecasting" @default.
- W1595044664 cites W1968112823 @default.
- W1595044664 cites W1968477654 @default.
- W1595044664 cites W1968806673 @default.
- W1595044664 cites W1970636934 @default.
- W1595044664 cites W1978702499 @default.
- W1595044664 cites W1979473671 @default.
- W1595044664 cites W1983459530 @default.
- W1595044664 cites W1983664186 @default.
- W1595044664 cites W1990517717 @default.
- W1595044664 cites W1995919245 @default.
- W1595044664 cites W2018139040 @default.
- W1595044664 cites W2023281112 @default.
- W1595044664 cites W2023419040 @default.
- W1595044664 cites W2026095762 @default.
- W1595044664 cites W2035525938 @default.
- W1595044664 cites W2051502925 @default.
- W1595044664 cites W2074080256 @default.
- W1595044664 cites W2077458446 @default.
- W1595044664 cites W2084289874 @default.
- W1595044664 cites W2088357067 @default.
- W1595044664 cites W2141789512 @default.
- W1595044664 cites W65738273 @default.
- W1595044664 doi "https://doi.org/10.1063/1.4926771" @default.
- W1595044664 hasPublicationYear "2015" @default.
- W1595044664 type Work @default.
- W1595044664 sameAs 1595044664 @default.
- W1595044664 citedByCount "8" @default.
- W1595044664 countsByYear W15950446642016 @default.
- W1595044664 countsByYear W15950446642018 @default.
- W1595044664 countsByYear W15950446642019 @default.
- W1595044664 countsByYear W15950446642020 @default.
- W1595044664 countsByYear W15950446642021 @default.
- W1595044664 crossrefType "journal-article" @default.
- W1595044664 hasAuthorship W1595044664A5044700284 @default.
- W1595044664 hasAuthorship W1595044664A5081146447 @default.
- W1595044664 hasConcept C119857082 @default.
- W1595044664 hasConcept C121332964 @default.
- W1595044664 hasConcept C154945302 @default.
- W1595044664 hasConcept C163258240 @default.
- W1595044664 hasConcept C41008148 @default.
- W1595044664 hasConcept C50644808 @default.
- W1595044664 hasConcept C61797465 @default.
- W1595044664 hasConcept C62520636 @default.
- W1595044664 hasConcept C89227174 @default.
- W1595044664 hasConceptScore W1595044664C119857082 @default.
- W1595044664 hasConceptScore W1595044664C121332964 @default.
- W1595044664 hasConceptScore W1595044664C154945302 @default.
- W1595044664 hasConceptScore W1595044664C163258240 @default.
- W1595044664 hasConceptScore W1595044664C41008148 @default.
- W1595044664 hasConceptScore W1595044664C50644808 @default.
- W1595044664 hasConceptScore W1595044664C61797465 @default.
- W1595044664 hasConceptScore W1595044664C62520636 @default.
- W1595044664 hasConceptScore W1595044664C89227174 @default.
- W1595044664 hasIssue "4" @default.
- W1595044664 hasLocation W15950446641 @default.
- W1595044664 hasOpenAccess W1595044664 @default.
- W1595044664 hasPrimaryLocation W15950446641 @default.
- W1595044664 hasRelatedWork W2370351027 @default.
- W1595044664 hasRelatedWork W2371877363 @default.
- W1595044664 hasRelatedWork W2961085424 @default.
- W1595044664 hasRelatedWork W3046775127 @default.
- W1595044664 hasRelatedWork W4285260836 @default.
- W1595044664 hasRelatedWork W4286629047 @default.
- W1595044664 hasRelatedWork W4306321456 @default.
- W1595044664 hasRelatedWork W4306674287 @default.
- W1595044664 hasRelatedWork W1629725936 @default.
- W1595044664 hasRelatedWork W4224009465 @default.
- W1595044664 hasVolume "7" @default.
- W1595044664 isParatext "false" @default.
- W1595044664 isRetracted "false" @default.
- W1595044664 magId "1595044664" @default.
- W1595044664 workType "article" @default.