Matches in SemOpenAlex for { <https://semopenalex.org/work/W3091587789> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3091587789 abstract "The lower upper bound estimation method is an important probabilistic prediction method and has been applied to the solar generation forecasting. However, when the input dimension of the lower upper bound estimation method is large, its performance will be seriously affected. To overcome this challenge, a novel probabilistic prediction of solar generation based on stacked autoencoder and lower upper bound estimation method is proposed. In this method, stacked autoencoder is first used to obtain highly compressed features, which are utilized as the input of the lower upper bound estimation method. Besides, to make the target value in the center of the prediction interval as much as possible, inspired by the idea of support vector machine, the mean squared error of prediction interval is introduced to the loss function, which keeps the target value as far as possible from the lower and upper bounds of the prediction interval. To verify the performance of the proposed method, a large number of experiments have been carried out on the freely available dataset. The results show that the proposed method has better forecasting performance." @default.
- W3091587789 created "2020-10-08" @default.
- W3091587789 creator A5037083362 @default.
- W3091587789 creator A5048888033 @default.
- W3091587789 date "2020-07-01" @default.
- W3091587789 modified "2023-10-01" @default.
- W3091587789 title "Probabilistic Prediction of Solar Generation Based on Stacked Autoencoder and Lower Upper Bound Estimation Method" @default.
- W3091587789 cites W1120922828 @default.
- W3091587789 cites W1573647811 @default.
- W3091587789 cites W1585404963 @default.
- W3091587789 cites W2002231816 @default.
- W3091587789 cites W2052603148 @default.
- W3091587789 cites W2068928057 @default.
- W3091587789 cites W2132477882 @default.
- W3091587789 cites W2483663512 @default.
- W3091587789 cites W2524035252 @default.
- W3091587789 cites W2543580944 @default.
- W3091587789 cites W2569349941 @default.
- W3091587789 cites W2578577414 @default.
- W3091587789 cites W2587586954 @default.
- W3091587789 cites W2600383743 @default.
- W3091587789 cites W2736385547 @default.
- W3091587789 cites W2742947407 @default.
- W3091587789 cites W2754595644 @default.
- W3091587789 cites W2912961521 @default.
- W3091587789 cites W2947136437 @default.
- W3091587789 cites W2954504873 @default.
- W3091587789 cites W2962700793 @default.
- W3091587789 cites W2964091467 @default.
- W3091587789 cites W2964248288 @default.
- W3091587789 cites W2964368240 @default.
- W3091587789 cites W2964515763 @default.
- W3091587789 cites W2968516859 @default.
- W3091587789 cites W750331148 @default.
- W3091587789 doi "https://doi.org/10.1109/ijcnn48605.2020.9207350" @default.
- W3091587789 hasPublicationYear "2020" @default.
- W3091587789 type Work @default.
- W3091587789 sameAs 3091587789 @default.
- W3091587789 citedByCount "1" @default.
- W3091587789 countsByYear W30915877892021 @default.
- W3091587789 crossrefType "proceedings-article" @default.
- W3091587789 hasAuthorship W3091587789A5037083362 @default.
- W3091587789 hasAuthorship W3091587789A5048888033 @default.
- W3091587789 hasConcept C101738243 @default.
- W3091587789 hasConcept C11413529 @default.
- W3091587789 hasConcept C114614502 @default.
- W3091587789 hasConcept C126255220 @default.
- W3091587789 hasConcept C134306372 @default.
- W3091587789 hasConcept C153180895 @default.
- W3091587789 hasConcept C154945302 @default.
- W3091587789 hasConcept C202444582 @default.
- W3091587789 hasConcept C2778067643 @default.
- W3091587789 hasConcept C33676613 @default.
- W3091587789 hasConcept C33923547 @default.
- W3091587789 hasConcept C41008148 @default.
- W3091587789 hasConcept C49937458 @default.
- W3091587789 hasConcept C50644808 @default.
- W3091587789 hasConcept C77553402 @default.
- W3091587789 hasConceptScore W3091587789C101738243 @default.
- W3091587789 hasConceptScore W3091587789C11413529 @default.
- W3091587789 hasConceptScore W3091587789C114614502 @default.
- W3091587789 hasConceptScore W3091587789C126255220 @default.
- W3091587789 hasConceptScore W3091587789C134306372 @default.
- W3091587789 hasConceptScore W3091587789C153180895 @default.
- W3091587789 hasConceptScore W3091587789C154945302 @default.
- W3091587789 hasConceptScore W3091587789C202444582 @default.
- W3091587789 hasConceptScore W3091587789C2778067643 @default.
- W3091587789 hasConceptScore W3091587789C33676613 @default.
- W3091587789 hasConceptScore W3091587789C33923547 @default.
- W3091587789 hasConceptScore W3091587789C41008148 @default.
- W3091587789 hasConceptScore W3091587789C49937458 @default.
- W3091587789 hasConceptScore W3091587789C50644808 @default.
- W3091587789 hasConceptScore W3091587789C77553402 @default.
- W3091587789 hasLocation W30915877891 @default.
- W3091587789 hasOpenAccess W3091587789 @default.
- W3091587789 hasPrimaryLocation W30915877891 @default.
- W3091587789 hasRelatedWork W10881571 @default.
- W3091587789 hasRelatedWork W13065194 @default.
- W3091587789 hasRelatedWork W13637491 @default.
- W3091587789 hasRelatedWork W14566539 @default.
- W3091587789 hasRelatedWork W1560356 @default.
- W3091587789 hasRelatedWork W5283347 @default.
- W3091587789 hasRelatedWork W5688477 @default.
- W3091587789 hasRelatedWork W6468916 @default.
- W3091587789 hasRelatedWork W9684605 @default.
- W3091587789 hasRelatedWork W9877987 @default.
- W3091587789 isParatext "false" @default.
- W3091587789 isRetracted "false" @default.
- W3091587789 magId "3091587789" @default.
- W3091587789 workType "article" @default.