Matches in SemOpenAlex for { <https://semopenalex.org/work/W2321836756> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2321836756 endingPage "1136" @default.
- W2321836756 startingPage "1130" @default.
- W2321836756 abstract "Air quality forecasting using nearest neighbour technique provides an alternative to statistical and neural network models, which needs the information on predictor variables and understanding of underlying patterns in the data. k-nearest neighbour method of forecasting that does not assume any linear or nonlinear form of the data is used in this study to obtain the next step forecast of PM10 concentrations. Various function approximation techniques such as mean, median, linear combination and kernel regression of nearest neighbours are evaluated. It is observed that kernel regression of nearest neighbours outperforms the other individual models including bench mark persistence model for obtaining the next step forecasts. As the data may involve both linear and nonlinear patterns and any individual model cannot capture both types of patterns, combination forecasting is suggested as an alternative. The forecast error showed the outperformance of combination forecasting over individual forecast, which is quite obvious as it assigns more weightage to the model with minimum error. The study is useful when the data on predictor variables that influence the air pollutant concentrations is not available. The assumption on the underlying distribution of the data is also not required for the approach." @default.
- W2321836756 created "2016-06-24" @default.
- W2321836756 creator A5010437284 @default.
- W2321836756 date "2015-01-01" @default.
- W2321836756 modified "2023-10-16" @default.
- W2321836756 title "Nearest Neighbour Based Forecast Model for PM10 Forecasting: Individual and Combination Forecasting" @default.
- W2321836756 cites W1568270502 @default.
- W2321836756 cites W1689445748 @default.
- W2321836756 cites W1964357740 @default.
- W2321836756 cites W1972324604 @default.
- W2321836756 cites W1976490744 @default.
- W2321836756 cites W1977177161 @default.
- W2321836756 cites W2056494717 @default.
- W2321836756 cites W2097112748 @default.
- W2321836756 cites W2118634354 @default.
- W2321836756 cites W2119422152 @default.
- W2321836756 cites W2154326182 @default.
- W2321836756 cites W2204797257 @default.
- W2321836756 cites W2499877350 @default.
- W2321836756 cites W27682692 @default.
- W2321836756 cites W633564929 @default.
- W2321836756 cites W961409283 @default.
- W2321836756 cites W1993387039 @default.
- W2321836756 doi "https://doi.org/10.4209/aaqr.2014.09.0229" @default.
- W2321836756 hasPublicationYear "2015" @default.
- W2321836756 type Work @default.
- W2321836756 sameAs 2321836756 @default.
- W2321836756 citedByCount "4" @default.
- W2321836756 countsByYear W23218367562019 @default.
- W2321836756 countsByYear W23218367562021 @default.
- W2321836756 countsByYear W23218367562022 @default.
- W2321836756 countsByYear W23218367562023 @default.
- W2321836756 crossrefType "journal-article" @default.
- W2321836756 hasAuthorship W2321836756A5010437284 @default.
- W2321836756 hasBestOaLocation W23218367561 @default.
- W2321836756 hasConcept C105795698 @default.
- W2321836756 hasConcept C114614502 @default.
- W2321836756 hasConcept C119857082 @default.
- W2321836756 hasConcept C124101348 @default.
- W2321836756 hasConcept C149782125 @default.
- W2321836756 hasConcept C154945302 @default.
- W2321836756 hasConcept C33923547 @default.
- W2321836756 hasConcept C41008148 @default.
- W2321836756 hasConcept C50644808 @default.
- W2321836756 hasConcept C74193536 @default.
- W2321836756 hasConceptScore W2321836756C105795698 @default.
- W2321836756 hasConceptScore W2321836756C114614502 @default.
- W2321836756 hasConceptScore W2321836756C119857082 @default.
- W2321836756 hasConceptScore W2321836756C124101348 @default.
- W2321836756 hasConceptScore W2321836756C149782125 @default.
- W2321836756 hasConceptScore W2321836756C154945302 @default.
- W2321836756 hasConceptScore W2321836756C33923547 @default.
- W2321836756 hasConceptScore W2321836756C41008148 @default.
- W2321836756 hasConceptScore W2321836756C50644808 @default.
- W2321836756 hasConceptScore W2321836756C74193536 @default.
- W2321836756 hasIssue "3" @default.
- W2321836756 hasLocation W23218367561 @default.
- W2321836756 hasOpenAccess W2321836756 @default.
- W2321836756 hasPrimaryLocation W23218367561 @default.
- W2321836756 hasRelatedWork W2386387936 @default.
- W2321836756 hasRelatedWork W2961085424 @default.
- W2321836756 hasRelatedWork W3046775127 @default.
- W2321836756 hasRelatedWork W3170094116 @default.
- W2321836756 hasRelatedWork W4205958290 @default.
- W2321836756 hasRelatedWork W4285260836 @default.
- W2321836756 hasRelatedWork W4286629047 @default.
- W2321836756 hasRelatedWork W4306321456 @default.
- W2321836756 hasRelatedWork W4306674287 @default.
- W2321836756 hasRelatedWork W4224009465 @default.
- W2321836756 hasVolume "15" @default.
- W2321836756 isParatext "false" @default.
- W2321836756 isRetracted "false" @default.
- W2321836756 magId "2321836756" @default.
- W2321836756 workType "article" @default.