Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model
This article analyzes the correlation between energy poverty percentage and unemployment rate for four European countries, Bulgaria, Hungary, Romania and Slovakia, comparing the results with the European average. The time series extracted from the datasets were imported in a hybrid model, namely ARI...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-07-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-1464.pdf |
| _version_ | 1797782383179595776 |
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| author | Claudiu Ionut Popirlan Irina-Valentina Tudor Cristina Popirlan |
| author_facet | Claudiu Ionut Popirlan Irina-Valentina Tudor Cristina Popirlan |
| author_sort | Claudiu Ionut Popirlan |
| collection | DOAJ |
| description | This article analyzes the correlation between energy poverty percentage and unemployment rate for four European countries, Bulgaria, Hungary, Romania and Slovakia, comparing the results with the European average. The time series extracted from the datasets were imported in a hybrid model, namely ARIMA-ARNN, generating predictions for the two variables in order to analyze their interconnectivity. The results obtained from the hybrid model suggest that unemployment rate and energy poverty percentage have comparable tendencies, being strongly correlated. The forecasts suggest that this correlation will be maintained in the future unless appropriate governmental policies are implemented in order to lower the impact of other aspects on energy poverty. |
| first_indexed | 2024-03-13T00:10:12Z |
| format | Article |
| id | doaj.art-f56e9cf7489b40ecaf41fe17259dd2ef |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-13T00:10:12Z |
| publishDate | 2023-07-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-f56e9cf7489b40ecaf41fe17259dd2ef2023-07-12T15:05:28ZengPeerJ Inc.PeerJ Computer Science2376-59922023-07-019e146410.7717/peerj-cs.1464Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN modelClaudiu Ionut Popirlan0Irina-Valentina Tudor1Cristina Popirlan2Department of Computer Science, University of Craiova, Craiova, Dolj, RomaniaDepartment of Computer Science, University of Craiova, Craiova, Dolj, RomaniaDepartment of Computer Science, University of Craiova, Craiova, Dolj, RomaniaThis article analyzes the correlation between energy poverty percentage and unemployment rate for four European countries, Bulgaria, Hungary, Romania and Slovakia, comparing the results with the European average. The time series extracted from the datasets were imported in a hybrid model, namely ARIMA-ARNN, generating predictions for the two variables in order to analyze their interconnectivity. The results obtained from the hybrid model suggest that unemployment rate and energy poverty percentage have comparable tendencies, being strongly correlated. The forecasts suggest that this correlation will be maintained in the future unless appropriate governmental policies are implemented in order to lower the impact of other aspects on energy poverty.https://peerj.com/articles/cs-1464.pdfForecastingTime seriesDeveloping/developed countriesHybrid model ARIMA-ARNN |
| spellingShingle | Claudiu Ionut Popirlan Irina-Valentina Tudor Cristina Popirlan Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model PeerJ Computer Science Forecasting Time series Developing/developed countries Hybrid model ARIMA-ARNN |
| title | Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model |
| title_full | Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model |
| title_fullStr | Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model |
| title_full_unstemmed | Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model |
| title_short | Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model |
| title_sort | predicting the unemployment rate and energy poverty levels in selected european union countries using an arima arnn model |
| topic | Forecasting Time series Developing/developed countries Hybrid model ARIMA-ARNN |
| url | https://peerj.com/articles/cs-1464.pdf |
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