A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost
Energy supply security is a significant part of China’s security, directly influencing national security and economic and social sustainability. To ensure both China’s present and the future energy supply, it is essential to evaluate and forecast the energy supply level. However,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/7/1687 |
| _version_ | 1798004145993547776 |
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| author | Pin Li Jin-Suo Zhang |
| author_facet | Pin Li Jin-Suo Zhang |
| author_sort | Pin Li |
| collection | DOAJ |
| description | Energy supply security is a significant part of China’s security, directly influencing national security and economic and social sustainability. To ensure both China’s present and the future energy supply, it is essential to evaluate and forecast the energy supply level. However, forecasting the energy supply security level is difficult because energy supply security is dynamic, many factors affect it and there is a lack of accurate and comprehensive data. Therefore, based on previous studies and according to the characteristics of energy supply and the social development of China, first, the authors apply a comprehensive evaluation method to quantify the energy supply security. Second, based on the ARIMA-XGBoost hybrid model, the authors create two novel approaches for forecasting the energy supply security level of China. The authors find that: (1) energy supply security is dynamic, and green development has become the theme of China’s energy development. The energy industry urgently needs to provide more high-quality ecological energy products to meet the people’s desire for a beautiful ecological environment; (2) since the mean absolute percentage errors are below 4.5% when forecasting the energy supply security indicators, the ARIMA-XGBoost hybrid model is more accurate for forecasting China’s energy supply security level and (3) the security level of China’s energy supply has developed periodic features; the ESSI can improve by about 0.2 every five years, but, due to the low starting point and multiple types of constraints, it is difficult to reach the safety level in a short time. |
| first_indexed | 2024-04-11T12:18:59Z |
| format | Article |
| id | doaj.art-19244c76dae94bbdbab1464396be7832 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:18:59Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-19244c76dae94bbdbab1464396be78322022-12-22T04:24:08ZengMDPI AGEnergies1996-10732018-06-01117168710.3390/en11071687en11071687A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoostPin Li0Jin-Suo Zhang1School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Economics and Management, Yan’an University, Yan’an 716000, ChinaEnergy supply security is a significant part of China’s security, directly influencing national security and economic and social sustainability. To ensure both China’s present and the future energy supply, it is essential to evaluate and forecast the energy supply level. However, forecasting the energy supply security level is difficult because energy supply security is dynamic, many factors affect it and there is a lack of accurate and comprehensive data. Therefore, based on previous studies and according to the characteristics of energy supply and the social development of China, first, the authors apply a comprehensive evaluation method to quantify the energy supply security. Second, based on the ARIMA-XGBoost hybrid model, the authors create two novel approaches for forecasting the energy supply security level of China. The authors find that: (1) energy supply security is dynamic, and green development has become the theme of China’s energy development. The energy industry urgently needs to provide more high-quality ecological energy products to meet the people’s desire for a beautiful ecological environment; (2) since the mean absolute percentage errors are below 4.5% when forecasting the energy supply security indicators, the ARIMA-XGBoost hybrid model is more accurate for forecasting China’s energy supply security level and (3) the security level of China’s energy supply has developed periodic features; the ESSI can improve by about 0.2 every five years, but, due to the low starting point and multiple types of constraints, it is difficult to reach the safety level in a short time.http://www.mdpi.com/1996-1073/11/7/1687energy supply security indexARIMAXGBoostShannon entropyhybrid model |
| spellingShingle | Pin Li Jin-Suo Zhang A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost Energies energy supply security index ARIMA XGBoost Shannon entropy hybrid model |
| title | A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost |
| title_full | A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost |
| title_fullStr | A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost |
| title_full_unstemmed | A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost |
| title_short | A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost |
| title_sort | new hybrid method for china s energy supply security forecasting based on arima and xgboost |
| topic | energy supply security index ARIMA XGBoost Shannon entropy hybrid model |
| url | http://www.mdpi.com/1996-1073/11/7/1687 |
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