Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297883984> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4297883984 endingPage "10" @default.
- W4297883984 startingPage "1" @default.
- W4297883984 abstract "In order to improve the accuracy of ultra short-term power prediction of the photovoltaic power generation system, a short-term photovoltaic power prediction method based on an adaptive k-means and Gru machine learning model is proposed. This method first introduces the construction process of the model and then builds a short-term photovoltaic power generation prediction model based on an adaptive k-means and Gru machine learning models. Then, the network structure and key parameters are determined through experiments, and the initial training set of the prediction model is selected according to the short-term photovoltaic power generation characteristics. And the adaptive k-means is used to cluster the initial training set and the photovoltaic power on the forecast day. The Gru model is trained on the initial training set data of each category, and the generated power is predicted in combination with the trained Gru model. Finally, considering three typical weather types, the proposed method is used for simulation analysis and compared with the other three traditional photovoltaic power generation single prediction models. The comparison results show that the proposed short-term photovoltaic power generation prediction method based on an adaptive k-means and Gru network has better effect, better robustness, and less error." @default.
- W4297883984 created "2022-10-01" @default.
- W4297883984 creator A5028286498 @default.
- W4297883984 date "2022-09-12" @default.
- W4297883984 modified "2023-10-05" @default.
- W4297883984 title "Short-Term Prediction Method of Solar Photovoltaic Power Generation Based on Machine Learning in Smart Grid" @default.
- W4297883984 cites W1979536610 @default.
- W4297883984 cites W1994688525 @default.
- W4297883984 cites W2004057093 @default.
- W4297883984 cites W2031451834 @default.
- W4297883984 cites W2052622126 @default.
- W4297883984 cites W2056318170 @default.
- W4297883984 cites W2062985206 @default.
- W4297883984 cites W2068266858 @default.
- W4297883984 cites W2078270357 @default.
- W4297883984 cites W2093465159 @default.
- W4297883984 cites W2127155670 @default.
- W4297883984 cites W2577790064 @default.
- W4297883984 cites W2897143050 @default.
- W4297883984 cites W3157578889 @default.
- W4297883984 cites W3201189895 @default.
- W4297883984 cites W3215548019 @default.
- W4297883984 doi "https://doi.org/10.1155/2022/8478790" @default.
- W4297883984 hasPublicationYear "2022" @default.
- W4297883984 type Work @default.
- W4297883984 citedByCount "3" @default.
- W4297883984 countsByYear W42978839842022 @default.
- W4297883984 countsByYear W42978839842023 @default.
- W4297883984 crossrefType "journal-article" @default.
- W4297883984 hasAuthorship W4297883984A5028286498 @default.
- W4297883984 hasBestOaLocation W42978839841 @default.
- W4297883984 hasConcept C104317684 @default.
- W4297883984 hasConcept C119599485 @default.
- W4297883984 hasConcept C121332964 @default.
- W4297883984 hasConcept C127413603 @default.
- W4297883984 hasConcept C154945302 @default.
- W4297883984 hasConcept C163258240 @default.
- W4297883984 hasConcept C185592680 @default.
- W4297883984 hasConcept C41008148 @default.
- W4297883984 hasConcept C41291067 @default.
- W4297883984 hasConcept C55493867 @default.
- W4297883984 hasConcept C61797465 @default.
- W4297883984 hasConcept C62520636 @default.
- W4297883984 hasConcept C63479239 @default.
- W4297883984 hasConcept C89227174 @default.
- W4297883984 hasConceptScore W4297883984C104317684 @default.
- W4297883984 hasConceptScore W4297883984C119599485 @default.
- W4297883984 hasConceptScore W4297883984C121332964 @default.
- W4297883984 hasConceptScore W4297883984C127413603 @default.
- W4297883984 hasConceptScore W4297883984C154945302 @default.
- W4297883984 hasConceptScore W4297883984C163258240 @default.
- W4297883984 hasConceptScore W4297883984C185592680 @default.
- W4297883984 hasConceptScore W4297883984C41008148 @default.
- W4297883984 hasConceptScore W4297883984C41291067 @default.
- W4297883984 hasConceptScore W4297883984C55493867 @default.
- W4297883984 hasConceptScore W4297883984C61797465 @default.
- W4297883984 hasConceptScore W4297883984C62520636 @default.
- W4297883984 hasConceptScore W4297883984C63479239 @default.
- W4297883984 hasConceptScore W4297883984C89227174 @default.
- W4297883984 hasFunder F4320331075 @default.
- W4297883984 hasLocation W42978839841 @default.
- W4297883984 hasOpenAccess W4297883984 @default.
- W4297883984 hasPrimaryLocation W42978839841 @default.
- W4297883984 hasRelatedWork W2035976912 @default.
- W4297883984 hasRelatedWork W2363475415 @default.
- W4297883984 hasRelatedWork W2372022541 @default.
- W4297883984 hasRelatedWork W2541791370 @default.
- W4297883984 hasRelatedWork W2810045178 @default.
- W4297883984 hasRelatedWork W2891769814 @default.
- W4297883984 hasRelatedWork W2899084033 @default.
- W4297883984 hasRelatedWork W3213778687 @default.
- W4297883984 hasRelatedWork W4239295757 @default.
- W4297883984 hasRelatedWork W4319431361 @default.
- W4297883984 hasVolume "2022" @default.
- W4297883984 isParatext "false" @default.
- W4297883984 isRetracted "false" @default.
- W4297883984 workType "article" @default.