Improving the principles of short-term electric load forecasting of the Irkutsk region
Forecasting of electric load (EL) is an important task for both electric power entities and large consumers of electricity [1]. Large consumers are faced with the need to compose applications for the planned volume of EL, and the deviation of subsequent real consumption from previously announced lea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://doi.org/10.1051/e3sconf/20172503006 |
| _version_ | 1818369161802285056 |
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| author | Kornilov Vladimir Kurbatsky Victor Tomin Nikita |
| author_facet | Kornilov Vladimir Kurbatsky Victor Tomin Nikita |
| author_sort | Kornilov Vladimir |
| collection | DOAJ |
| description | Forecasting of electric load (EL) is an important task for both electric power entities and large consumers of electricity [1]. Large consumers are faced with the need to compose applications for the planned volume of EL, and the deviation of subsequent real consumption from previously announced leads to the appearance of penalties from the wholesale market. In turn, electricity producers are interested in forecasting the demand for electricity for prompt response to its fluctuations and for the purpose of optimal infrastructure development. The most difficult and urgent task is the hourly forecasting of EL, which is extremely important for the successful solution of problems of optimization of generating capacities, minimization of power losses, dispatching control, security assessment of power supply, etc. Ultimately, such forecasts allow optimizing the cash costs for electricity and fuel or water consumption during generation. This paper analyzes the experience of the branch of JSC "SO UPS" Irkutsk Regional Dispatch Office of the procedure for short-term forecasting of the EL of the Irkutsk region. |
| first_indexed | 2024-12-13T23:19:27Z |
| format | Article |
| id | doaj.art-3b0f15ff10264eed8fa787607e03d916 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-13T23:19:27Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3b0f15ff10264eed8fa787607e03d9162022-12-21T23:27:49ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01250300610.1051/e3sconf/20172503006e3sconf_rses2017_03006Improving the principles of short-term electric load forecasting of the Irkutsk regionKornilov VladimirKurbatsky VictorTomin NikitaForecasting of electric load (EL) is an important task for both electric power entities and large consumers of electricity [1]. Large consumers are faced with the need to compose applications for the planned volume of EL, and the deviation of subsequent real consumption from previously announced leads to the appearance of penalties from the wholesale market. In turn, electricity producers are interested in forecasting the demand for electricity for prompt response to its fluctuations and for the purpose of optimal infrastructure development. The most difficult and urgent task is the hourly forecasting of EL, which is extremely important for the successful solution of problems of optimization of generating capacities, minimization of power losses, dispatching control, security assessment of power supply, etc. Ultimately, such forecasts allow optimizing the cash costs for electricity and fuel or water consumption during generation. This paper analyzes the experience of the branch of JSC "SO UPS" Irkutsk Regional Dispatch Office of the procedure for short-term forecasting of the EL of the Irkutsk region.https://doi.org/10.1051/e3sconf/20172503006 |
| spellingShingle | Kornilov Vladimir Kurbatsky Victor Tomin Nikita Improving the principles of short-term electric load forecasting of the Irkutsk region E3S Web of Conferences |
| title | Improving the principles of short-term electric load forecasting of the Irkutsk region |
| title_full | Improving the principles of short-term electric load forecasting of the Irkutsk region |
| title_fullStr | Improving the principles of short-term electric load forecasting of the Irkutsk region |
| title_full_unstemmed | Improving the principles of short-term electric load forecasting of the Irkutsk region |
| title_short | Improving the principles of short-term electric load forecasting of the Irkutsk region |
| title_sort | improving the principles of short term electric load forecasting of the irkutsk region |
| url | https://doi.org/10.1051/e3sconf/20172503006 |
| work_keys_str_mv | AT kornilovvladimir improvingtheprinciplesofshorttermelectricloadforecastingoftheirkutskregion AT kurbatskyvictor improvingtheprinciplesofshorttermelectricloadforecastingoftheirkutskregion AT tominnikita improvingtheprinciplesofshorttermelectricloadforecastingoftheirkutskregion |