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 clusterization of weather data. Research results led to quality improvement of energy consumption forecasts..
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2008 |
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| Erschienen: |
2008 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:2008-3 |
|---|---|
| Enthalten in: |
Problems of the Regional Energetics - 2008-3(2008), 3(8), Seite 74-83 |
| Sprache: |
Englisch ; Rumänisch ; Russisch |
|---|
| Beteiligte Personen: |
Voronenko D. I. [VerfasserIn] |
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| Links: |
doaj.org [kostenfrei] |
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| Themen: |
Electrical engineering. Electronics. Nuclear engineering |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
DOAJ060043504 |
|---|
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| 520 | |a 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. | ||
| 650 | 4 | |a energy consumption forecasting | |
| 653 | 0 | |a Electrical engineering. Electronics. Nuclear engineering | |
| 653 | 0 | |a Production of electric energy or power. Powerplants. Central stations | |
| 653 | 0 | |a Renewable energy sources | |
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