Matches in SemOpenAlex for { <https://semopenalex.org/work/W3213533584> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W3213533584 abstract "Generally, wind speed prediction plays a vital role in generation of wind power. Lately, wind power generation has developed quickly, and the exactness expectation of wind power generation is vital due to the effect on the security of power frameworks. Notwithstanding, the varieties of wind speeds is incredibly high, making the prediction of wind power generation very troublesome. Initially, correlation analysis of different input parameters is considered and the parameters with the higher correlation are scrutinized and then they are considered to be the ultimate inputs for prediction of wind speed. In this paper, errors are compared between two noted deep learning algorithms namely, Long Short -Term Memory (LSTM) and Gated Recurrent Unit (GRU) and the final conclusion has shown that GRU gives better results compared to LSTM in predicting the wind speed. However, Both LSTM and GRU have their own set of pros and cons." @default.
- W3213533584 created "2021-11-22" @default.
- W3213533584 creator A5018974099 @default.
- W3213533584 creator A5065064844 @default.
- W3213533584 creator A5069711969 @default.
- W3213533584 creator A5078391152 @default.
- W3213533584 creator A5080021105 @default.
- W3213533584 date "2021-10-07" @default.
- W3213533584 modified "2023-09-27" @default.
- W3213533584 title "Wind Speed Prediction Using Deep Learning-LSTM and GRU" @default.
- W3213533584 cites W2019564142 @default.
- W3213533584 cites W2486475554 @default.
- W3213533584 cites W2775696952 @default.
- W3213533584 cites W2798678057 @default.
- W3213533584 cites W2895830266 @default.
- W3213533584 cites W2904508397 @default.
- W3213533584 cites W2922300290 @default.
- W3213533584 cites W2931858311 @default.
- W3213533584 cites W2953040712 @default.
- W3213533584 cites W3006359181 @default.
- W3213533584 cites W3007805730 @default.
- W3213533584 cites W3015592242 @default.
- W3213533584 cites W3021490209 @default.
- W3213533584 cites W3025724208 @default.
- W3213533584 cites W3041443116 @default.
- W3213533584 cites W3048529935 @default.
- W3213533584 cites W3088294139 @default.
- W3213533584 cites W3092489147 @default.
- W3213533584 cites W3123858831 @default.
- W3213533584 cites W3154484791 @default.
- W3213533584 cites W3161393127 @default.
- W3213533584 cites W3174415108 @default.
- W3213533584 doi "https://doi.org/10.1109/icosec51865.2021.9591886" @default.
- W3213533584 hasPublicationYear "2021" @default.
- W3213533584 type Work @default.
- W3213533584 sameAs 3213533584 @default.
- W3213533584 citedByCount "3" @default.
- W3213533584 countsByYear W32135335842022 @default.
- W3213533584 countsByYear W32135335842023 @default.
- W3213533584 crossrefType "proceedings-article" @default.
- W3213533584 hasAuthorship W3213533584A5018974099 @default.
- W3213533584 hasAuthorship W3213533584A5065064844 @default.
- W3213533584 hasAuthorship W3213533584A5069711969 @default.
- W3213533584 hasAuthorship W3213533584A5078391152 @default.
- W3213533584 hasAuthorship W3213533584A5080021105 @default.
- W3213533584 hasConcept C108583219 @default.
- W3213533584 hasConcept C119599485 @default.
- W3213533584 hasConcept C119857082 @default.
- W3213533584 hasConcept C121332964 @default.
- W3213533584 hasConcept C127413603 @default.
- W3213533584 hasConcept C153294291 @default.
- W3213533584 hasConcept C154945302 @default.
- W3213533584 hasConcept C161067210 @default.
- W3213533584 hasConcept C163258240 @default.
- W3213533584 hasConcept C177264268 @default.
- W3213533584 hasConcept C199360897 @default.
- W3213533584 hasConcept C2781084341 @default.
- W3213533584 hasConcept C41008148 @default.
- W3213533584 hasConcept C62520636 @default.
- W3213533584 hasConcept C78600449 @default.
- W3213533584 hasConcept C89227174 @default.
- W3213533584 hasConceptScore W3213533584C108583219 @default.
- W3213533584 hasConceptScore W3213533584C119599485 @default.
- W3213533584 hasConceptScore W3213533584C119857082 @default.
- W3213533584 hasConceptScore W3213533584C121332964 @default.
- W3213533584 hasConceptScore W3213533584C127413603 @default.
- W3213533584 hasConceptScore W3213533584C153294291 @default.
- W3213533584 hasConceptScore W3213533584C154945302 @default.
- W3213533584 hasConceptScore W3213533584C161067210 @default.
- W3213533584 hasConceptScore W3213533584C163258240 @default.
- W3213533584 hasConceptScore W3213533584C177264268 @default.
- W3213533584 hasConceptScore W3213533584C199360897 @default.
- W3213533584 hasConceptScore W3213533584C2781084341 @default.
- W3213533584 hasConceptScore W3213533584C41008148 @default.
- W3213533584 hasConceptScore W3213533584C62520636 @default.
- W3213533584 hasConceptScore W3213533584C78600449 @default.
- W3213533584 hasConceptScore W3213533584C89227174 @default.
- W3213533584 hasLocation W32135335841 @default.
- W3213533584 hasOpenAccess W3213533584 @default.
- W3213533584 hasPrimaryLocation W32135335841 @default.
- W3213533584 hasRelatedWork W1540937487 @default.
- W3213533584 hasRelatedWork W2049327723 @default.
- W3213533584 hasRelatedWork W2375763616 @default.
- W3213533584 hasRelatedWork W4206549027 @default.
- W3213533584 hasRelatedWork W4223943233 @default.
- W3213533584 hasRelatedWork W4225161397 @default.
- W3213533584 hasRelatedWork W4309045103 @default.
- W3213533584 hasRelatedWork W4312200629 @default.
- W3213533584 hasRelatedWork W4360585206 @default.
- W3213533584 hasRelatedWork W4364306694 @default.
- W3213533584 isParatext "false" @default.
- W3213533584 isRetracted "false" @default.
- W3213533584 magId "3213533584" @default.
- W3213533584 workType "article" @default.