CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION
The work is dedicated to identification and classification of meteorological scenarios for using them as additional input information in predictors of coherent consumption of electrical and thermal energy in residential area. Kohonen self-organized maps were used as mathematical apparatus for cluste...
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| Format: | Article |
| Language: | English |
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Academy of Sciences of Moldova
2008-12-01
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| Series: | Problems of the Regional Energetics |
| Subjects: | |
| Online Access: | http://journal.ie.asm.md/assets/files/m71_2_78.doc |
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| _version_ | 1850051057204330496 |
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| author | Voronenko D. I. |
| author_facet | Voronenko D. I. |
| author_sort | Voronenko D. I. |
| collection | DOAJ |
| description | The work is dedicated to identification and classification of meteorological scenarios for using them as additional input information in predictors of coherent consumption of electrical and thermal energy in residential area. Kohonen self-organized maps were used as mathematical apparatus for clusterization of weather data. Research results led to quality improvement of energy consumption forecasts. |
| format | Article |
| id | doaj-art-5775add568154a50a4cd90aba3c43503 |
| institution | DOAJ |
| issn | 1857-0070 |
| language | English |
| publishDate | 2008-12-01 |
| publisher | Academy of Sciences of Moldova |
| record_format | Article |
| series | Problems of the Regional Energetics |
| spelling | doaj-art-5775add568154a50a4cd90aba3c435032025-08-20T02:53:16ZengAcademy of Sciences of MoldovaProblems of the Regional Energetics1857-00702008-12-012008-33(8)7483CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPIONVoronenko D. I.0National Technical University “Kharkiv Polytechnic Institute”The work is dedicated to identification and classification of meteorological scenarios for using them as additional input information in predictors of coherent consumption of electrical and thermal energy in residential area. Kohonen self-organized maps were used as mathematical apparatus for clusterization of weather data. Research results led to quality improvement of energy consumption forecasts.http://journal.ie.asm.md/assets/files/m71_2_78.docenergy consumption forecasting |
| spellingShingle | Voronenko D. I. CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION Problems of the Regional Energetics energy consumption forecasting |
| title | CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION |
| title_full | CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION |
| title_fullStr | CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION |
| title_full_unstemmed | CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION |
| title_short | CLASIFICATION OF METEOROLOGICAL SCENARIOS FOR USING IN PREDICTORS OF RESIDENTIAL AREA POWER CONSUMPION |
| title_sort | clasification of meteorological scenarios for using in predictors of residential area power consumpion |
| topic | energy consumption forecasting |
| url | http://journal.ie.asm.md/assets/files/m71_2_78.doc |
| work_keys_str_mv | AT voronenkodi clasificationofmeteorologicalscenariosforusinginpredictorsofresidentialareapowerconsumpion |