Matches in SemOpenAlex for { <https://semopenalex.org/work/W2519221684> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2519221684 endingPage "642" @default.
- W2519221684 startingPage "633" @default.
- W2519221684 abstract "A robust market-clearing price (MCP) forecasting tool is needed for efficient and profitable power market execution. The work predicts MCPs for the months of April, May, and June using artificial neural networks (ANNs). A very large ANN with varying input data may lead to poor prediction in comparison with smaller ANN with similar input data due to its highly sensitive characteristic. Grouping of similar data accelerates the learning process of ANNs along with more accurate and efficient prediction result. In this paper, input data set is arranged into homogeneous groups of hours with similarity in prices, based on correlation matrix and peak, off-peak values of prices. Mean absolute percentage errors (MAPEs) are evaluated to find out the best grouping technique and forecasting model for Indian Electricity Markets. MAPE results are shown for the best two consecutive days and the whole month to demonstrate the effectiveness of grouping techniques." @default.
- W2519221684 created "2016-09-23" @default.
- W2519221684 creator A5000396247 @default.
- W2519221684 creator A5076054880 @default.
- W2519221684 date "2016-09-18" @default.
- W2519221684 modified "2023-09-24" @default.
- W2519221684 title "Market-Clearing Price Forecasting for Indian Electricity Markets" @default.
- W2519221684 cites W1967256306 @default.
- W2519221684 cites W1977200004 @default.
- W2519221684 cites W2011394589 @default.
- W2519221684 cites W2043172021 @default.
- W2519221684 cites W2076371332 @default.
- W2519221684 cites W2096874142 @default.
- W2519221684 cites W2102072264 @default.
- W2519221684 cites W2142143592 @default.
- W2519221684 cites W2150722745 @default.
- W2519221684 cites W3124398902 @default.
- W2519221684 doi "https://doi.org/10.1007/978-981-10-1708-7_72" @default.
- W2519221684 hasPublicationYear "2016" @default.
- W2519221684 type Work @default.
- W2519221684 sameAs 2519221684 @default.
- W2519221684 citedByCount "3" @default.
- W2519221684 countsByYear W25192216842020 @default.
- W2519221684 countsByYear W25192216842021 @default.
- W2519221684 countsByYear W25192216842022 @default.
- W2519221684 crossrefType "book-chapter" @default.
- W2519221684 hasAuthorship W2519221684A5000396247 @default.
- W2519221684 hasAuthorship W2519221684A5076054880 @default.
- W2519221684 hasConcept C10138342 @default.
- W2519221684 hasConcept C105795698 @default.
- W2519221684 hasConcept C114118609 @default.
- W2519221684 hasConcept C114614502 @default.
- W2519221684 hasConcept C119599485 @default.
- W2519221684 hasConcept C124101348 @default.
- W2519221684 hasConcept C127413603 @default.
- W2519221684 hasConcept C134697681 @default.
- W2519221684 hasConcept C146733006 @default.
- W2519221684 hasConcept C149782125 @default.
- W2519221684 hasConcept C14981831 @default.
- W2519221684 hasConcept C150217764 @default.
- W2519221684 hasConcept C154945302 @default.
- W2519221684 hasConcept C162324750 @default.
- W2519221684 hasConcept C175444787 @default.
- W2519221684 hasConcept C206658404 @default.
- W2519221684 hasConcept C2781104810 @default.
- W2519221684 hasConcept C33923547 @default.
- W2519221684 hasConcept C41008148 @default.
- W2519221684 hasConcept C50644808 @default.
- W2519221684 hasConcept C58489278 @default.
- W2519221684 hasConcept C66882249 @default.
- W2519221684 hasConceptScore W2519221684C10138342 @default.
- W2519221684 hasConceptScore W2519221684C105795698 @default.
- W2519221684 hasConceptScore W2519221684C114118609 @default.
- W2519221684 hasConceptScore W2519221684C114614502 @default.
- W2519221684 hasConceptScore W2519221684C119599485 @default.
- W2519221684 hasConceptScore W2519221684C124101348 @default.
- W2519221684 hasConceptScore W2519221684C127413603 @default.
- W2519221684 hasConceptScore W2519221684C134697681 @default.
- W2519221684 hasConceptScore W2519221684C146733006 @default.
- W2519221684 hasConceptScore W2519221684C149782125 @default.
- W2519221684 hasConceptScore W2519221684C14981831 @default.
- W2519221684 hasConceptScore W2519221684C150217764 @default.
- W2519221684 hasConceptScore W2519221684C154945302 @default.
- W2519221684 hasConceptScore W2519221684C162324750 @default.
- W2519221684 hasConceptScore W2519221684C175444787 @default.
- W2519221684 hasConceptScore W2519221684C206658404 @default.
- W2519221684 hasConceptScore W2519221684C2781104810 @default.
- W2519221684 hasConceptScore W2519221684C33923547 @default.
- W2519221684 hasConceptScore W2519221684C41008148 @default.
- W2519221684 hasConceptScore W2519221684C50644808 @default.
- W2519221684 hasConceptScore W2519221684C58489278 @default.
- W2519221684 hasConceptScore W2519221684C66882249 @default.
- W2519221684 hasLocation W25192216841 @default.
- W2519221684 hasOpenAccess W2519221684 @default.
- W2519221684 hasPrimaryLocation W25192216841 @default.
- W2519221684 hasRelatedWork W136882790 @default.
- W2519221684 hasRelatedWork W1598566662 @default.
- W2519221684 hasRelatedWork W1971889265 @default.
- W2519221684 hasRelatedWork W1987941067 @default.
- W2519221684 hasRelatedWork W2014915764 @default.
- W2519221684 hasRelatedWork W2540457041 @default.
- W2519221684 hasRelatedWork W2911667360 @default.
- W2519221684 hasRelatedWork W2992722060 @default.
- W2519221684 hasRelatedWork W3209536764 @default.
- W2519221684 hasRelatedWork W4226315484 @default.
- W2519221684 isParatext "false" @default.
- W2519221684 isRetracted "false" @default.
- W2519221684 magId "2519221684" @default.
- W2519221684 workType "book-chapter" @default.