Forecasting Models of Electricity Prices
The new competitive electricity markets make it imperative for companies related to electricity production and retail to have tools in place for energy offers. Price forecasting is critical when making offers in electricity markets, since it is considerably more complex than demand forecasting and t...
Furkejuvvon:
| Váldodahkki: | |
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| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Fáttát: | |
| Liŋkkat: | 22219 |
| Fáddágilkorat: |
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| _version_ | 1869525829451513856 |
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| author | Javier Contreras |
| author_browse | Javier Contreras |
| author_facet | Javier Contreras |
| author_sort | Javier Contreras |
| collection | Directory of Open Access Books |
| description | The new competitive electricity markets make it imperative for companies related to electricity production and retail to have tools in place for energy offers. Price forecasting is critical when making offers in electricity markets, since it is considerably more complex than demand forecasting and the level of uncertainty is higher. Knowing electricity prices beforehand makes it possible for generators to determine their optimal production strategy in order to maximize their profit. Similarly, consumers and retailers can plan their consumption and produce energy bids to maximize their utility. Therefore, price forecasting is instrumental both for producers, retailers and consumers. |
| format | Online |
| id | doab-20.500.12854ir-47849 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-478492024-04-11T20:34:21Z Forecasting Models of Electricity Prices Javier Contreras TA170-171 time series analysis Electricity price forecasting case studies statistical methods thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology The new competitive electricity markets make it imperative for companies related to electricity production and retail to have tools in place for energy offers. Price forecasting is critical when making offers in electricity markets, since it is considerably more complex than demand forecasting and the level of uncertainty is higher. Knowing electricity prices beforehand makes it possible for generators to determine their optimal production strategy in order to maximize their profit. Similarly, consumers and retailers can plan their consumption and produce energy bids to maximize their utility. Therefore, price forecasting is instrumental both for producers, retailers and consumers. 2021-02-11T13:52:42Z 2021-02-11T13:52:42Z 2017-06-09 09:21:40 2017 book 22219 9783038424154 9783038424147 https://directory.doabooks.org/handle/20.500.12854/47849 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International http://www.mdpi.com/books/pdfview/book/309 http://www.mdpi.com/books/pdfview/book/309 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03842-414-7 10.3390/books978-3-03842-414-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038424154 9783038424147 VIII, 250 open access |
| spellingShingle | TA170-171 time series analysis Electricity price forecasting case studies statistical methods thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Javier Contreras Forecasting Models of Electricity Prices |
| title | Forecasting Models of Electricity Prices |
| title_full | Forecasting Models of Electricity Prices |
| title_fullStr | Forecasting Models of Electricity Prices |
| title_full_unstemmed | Forecasting Models of Electricity Prices |
| title_short | Forecasting Models of Electricity Prices |
| title_sort | forecasting models of electricity prices |
| topic | TA170-171 time series analysis Electricity price forecasting case studies statistical methods thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | TA170-171 time series analysis Electricity price forecasting case studies statistical methods thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | 22219 |
| work_keys_str_mv | AT javiercontreras forecastingmodelsofelectricityprices |