Information aggregation based trend prediction of energy structure via an improved compositional data time series forecasting model and its application.
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| Title: | Information aggregation based trend prediction of energy structure via an improved compositional data time series forecasting model and its application. |
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| Authors: | Ma J; School of Finance and Accounting, Anhui Institute of International Business, Hefei, Anhui, China. |
| Source: | PloS one [PLoS One] 2026 Jun 26; Vol. 21 (6), pp. e0351310. Date of Electronic Publication: 2026 Jun 26 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0351310 |
