Matches in SemOpenAlex for { <https://semopenalex.org/work/W4253226372> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4253226372 endingPage "118" @default.
- W4253226372 startingPage "113" @default.
- W4253226372 abstract "Load forecasting has always been the essential part of an efficient power system planning and operation. Several electric power companies are now forecasting load power based on conventional methods. However, since the relationship between load power and factors influencing load power is nonlinear, it is difficult to identify its nonlinearity by using conventional methods. Most of papers deal with 24-hour-ahead load forecasting or next day peak load forecasting. These methods forecast the demand power by using forecasted temperature as forecast information. But, when the temperature curves changes rapidly on the forecast day, load power changes greatly and forecast error would going to increase. In conventional methods neural networks uses all similar day's data to learn the trend of similarity. However, learning of all similar day's data is very complex, and it does not suit learning of neural network. Therefore, it is necessary to reduce the neural network structure and learning time. To overcome these problems, we propose a one-hour-ahead load forecasting method using the correction of similar day data. In the proposed prediction method, the forecasted load power is obtained by adding a correction to the selected similar day data." @default.
- W4253226372 created "2022-05-12" @default.
- W4253226372 creator A5020249277 @default.
- W4253226372 creator A5031089304 @default.
- W4253226372 creator A5040401835 @default.
- W4253226372 creator A5090432026 @default.
- W4253226372 date "2002-01-01" @default.
- W4253226372 modified "2023-10-04" @default.
- W4253226372 title "One-hour-ahead load forecasting using neural network" @default.
- W4253226372 cites W2010448349 @default.
- W4253226372 cites W2080634390 @default.
- W4253226372 cites W2123410355 @default.
- W4253226372 cites W2124058921 @default.
- W4253226372 cites W2140979436 @default.
- W4253226372 cites W2167844895 @default.
- W4253226372 cites W9499718 @default.
- W4253226372 doi "https://doi.org/10.1109/59.982201" @default.
- W4253226372 hasPublicationYear "2002" @default.
- W4253226372 type Work @default.
- W4253226372 citedByCount "171" @default.
- W4253226372 countsByYear W42532263722012 @default.
- W4253226372 countsByYear W42532263722013 @default.
- W4253226372 countsByYear W42532263722014 @default.
- W4253226372 countsByYear W42532263722015 @default.
- W4253226372 countsByYear W42532263722016 @default.
- W4253226372 countsByYear W42532263722017 @default.
- W4253226372 countsByYear W42532263722018 @default.
- W4253226372 countsByYear W42532263722019 @default.
- W4253226372 countsByYear W42532263722020 @default.
- W4253226372 countsByYear W42532263722021 @default.
- W4253226372 countsByYear W42532263722022 @default.
- W4253226372 countsByYear W42532263722023 @default.
- W4253226372 crossrefType "journal-article" @default.
- W4253226372 hasAuthorship W4253226372A5020249277 @default.
- W4253226372 hasAuthorship W4253226372A5031089304 @default.
- W4253226372 hasAuthorship W4253226372A5040401835 @default.
- W4253226372 hasAuthorship W4253226372A5090432026 @default.
- W4253226372 hasConcept C119857082 @default.
- W4253226372 hasConcept C121332964 @default.
- W4253226372 hasConcept C122282355 @default.
- W4253226372 hasConcept C127413603 @default.
- W4253226372 hasConcept C154945302 @default.
- W4253226372 hasConcept C158622935 @default.
- W4253226372 hasConcept C163258240 @default.
- W4253226372 hasConcept C171146098 @default.
- W4253226372 hasConcept C193809577 @default.
- W4253226372 hasConcept C200601418 @default.
- W4253226372 hasConcept C2986689482 @default.
- W4253226372 hasConcept C41008148 @default.
- W4253226372 hasConcept C42475967 @default.
- W4253226372 hasConcept C49937458 @default.
- W4253226372 hasConcept C50644808 @default.
- W4253226372 hasConcept C62520636 @default.
- W4253226372 hasConcept C77715397 @default.
- W4253226372 hasConcept C89227174 @default.
- W4253226372 hasConceptScore W4253226372C119857082 @default.
- W4253226372 hasConceptScore W4253226372C121332964 @default.
- W4253226372 hasConceptScore W4253226372C122282355 @default.
- W4253226372 hasConceptScore W4253226372C127413603 @default.
- W4253226372 hasConceptScore W4253226372C154945302 @default.
- W4253226372 hasConceptScore W4253226372C158622935 @default.
- W4253226372 hasConceptScore W4253226372C163258240 @default.
- W4253226372 hasConceptScore W4253226372C171146098 @default.
- W4253226372 hasConceptScore W4253226372C193809577 @default.
- W4253226372 hasConceptScore W4253226372C200601418 @default.
- W4253226372 hasConceptScore W4253226372C2986689482 @default.
- W4253226372 hasConceptScore W4253226372C41008148 @default.
- W4253226372 hasConceptScore W4253226372C42475967 @default.
- W4253226372 hasConceptScore W4253226372C49937458 @default.
- W4253226372 hasConceptScore W4253226372C50644808 @default.
- W4253226372 hasConceptScore W4253226372C62520636 @default.
- W4253226372 hasConceptScore W4253226372C77715397 @default.
- W4253226372 hasConceptScore W4253226372C89227174 @default.
- W4253226372 hasIssue "1" @default.
- W4253226372 hasLocation W42532263721 @default.
- W4253226372 hasOpenAccess W4253226372 @default.
- W4253226372 hasPrimaryLocation W42532263721 @default.
- W4253226372 hasRelatedWork W2025036777 @default.
- W4253226372 hasRelatedWork W2074762703 @default.
- W4253226372 hasRelatedWork W2125064888 @default.
- W4253226372 hasRelatedWork W2127282537 @default.
- W4253226372 hasRelatedWork W2370351027 @default.
- W4253226372 hasRelatedWork W2371877363 @default.
- W4253226372 hasRelatedWork W2569241116 @default.
- W4253226372 hasRelatedWork W2611141856 @default.
- W4253226372 hasRelatedWork W2983022365 @default.
- W4253226372 hasRelatedWork W3011592978 @default.
- W4253226372 hasVolume "17" @default.
- W4253226372 isParatext "false" @default.
- W4253226372 isRetracted "false" @default.
- W4253226372 workType "article" @default.