One day ahead forecasting of energy generating in photovoltaic systems
The article presents selected methods for forecasting energy generated by a solar system. Short-term forecasts are necessary in planning the work of renewable energy sources and their share in the energy market. Forecasting from the one-day horizon is one of the short-term forecasts. Rear-round prog...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://doi.org/10.1051/itmconf/20182100023 |
| _version_ | 1818644630869114880 |
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| author | Drałus Grzegorz Dec Grzegorz Mazur Damian |
| author_facet | Drałus Grzegorz Dec Grzegorz Mazur Damian |
| author_sort | Drałus Grzegorz |
| collection | DOAJ |
| description | The article presents selected methods for forecasting energy generated by a solar system. Short-term forecasts are necessary in planning the work of renewable energy sources and their share in the energy market. Forecasting from the one-day horizon is one of the short-term forecasts. Rear-round prognostic models have been designed using various forecasting methods such as regression, neural networks or time series. On the basis of one day ahead forecasts the accuracy of designed models was assessed. The influence of selected weather factors on forecasts accuracy is also presented, only for models implemented by MLP neural networks. As well as the results of research on the impact of the model structure (as MLP neural network) on the accuracy of forecasts are presented. |
| first_indexed | 2024-12-17T00:17:55Z |
| format | Article |
| id | doaj.art-62086b6ee14c4bb2aad7b51cee0793c4 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-17T00:17:55Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-62086b6ee14c4bb2aad7b51cee0793c42022-12-21T22:10:38ZengEDP SciencesITM Web of Conferences2271-20972018-01-01210002310.1051/itmconf/20182100023itmconf_cst2018_00023One day ahead forecasting of energy generating in photovoltaic systemsDrałus Grzegorz0Dec Grzegorz1Mazur Damian2Rzeszow University of Technology, Department of Electrical and Computer Engineering FundamentalsRzeszow University of Technology, Department of Computer and Control EngineeringRzeszow University of Technology, Department of Electrical and Computer Engineering FundamentalsThe article presents selected methods for forecasting energy generated by a solar system. Short-term forecasts are necessary in planning the work of renewable energy sources and their share in the energy market. Forecasting from the one-day horizon is one of the short-term forecasts. Rear-round prognostic models have been designed using various forecasting methods such as regression, neural networks or time series. On the basis of one day ahead forecasts the accuracy of designed models was assessed. The influence of selected weather factors on forecasts accuracy is also presented, only for models implemented by MLP neural networks. As well as the results of research on the impact of the model structure (as MLP neural network) on the accuracy of forecasts are presented.https://doi.org/10.1051/itmconf/20182100023 |
| spellingShingle | Drałus Grzegorz Dec Grzegorz Mazur Damian One day ahead forecasting of energy generating in photovoltaic systems ITM Web of Conferences |
| title | One day ahead forecasting of energy generating in photovoltaic systems |
| title_full | One day ahead forecasting of energy generating in photovoltaic systems |
| title_fullStr | One day ahead forecasting of energy generating in photovoltaic systems |
| title_full_unstemmed | One day ahead forecasting of energy generating in photovoltaic systems |
| title_short | One day ahead forecasting of energy generating in photovoltaic systems |
| title_sort | one day ahead forecasting of energy generating in photovoltaic systems |
| url | https://doi.org/10.1051/itmconf/20182100023 |
| work_keys_str_mv | AT drałusgrzegorz onedayaheadforecastingofenergygeneratinginphotovoltaicsystems AT decgrzegorz onedayaheadforecastingofenergygeneratinginphotovoltaicsystems AT mazurdamian onedayaheadforecastingofenergygeneratinginphotovoltaicsystems |