Replication package for: “From growth to spatial structure: Forecasting and clustering the evolution of solar energy across Chinese provinces”
| dc.contributor.author | Martín-Álvarez, Juan Manuel | |
| dc.date | 2026 | |
| dc.date.accessioned | 2026-04-28T08:32:34Z | |
| dc.date.available | 2026-04-28T08:32:34Z | |
| dc.description.abstract | This replication package contains the dataset and the R scripts required to reproduce the empirical analysis presented in the article “From growth to spatial structure: Forecasting and clustering the evolution of solar energy across Chinese provinces.” The package includes monthly provincial solar production data for China, the R code used to estimate forecasting models (including SARIMA, ETS, NNAR, and others), generate forecasts up to 2029, and perform spatial analysis using Moran’s I and LISA clustering techniques. It also produces the figures and tables reported in the paper, along with all necessary instructions for replication. | es_ES |
| dc.identifier.uri | https://reunir.unir.net/handle/123456789/19745 | |
| dc.language.iso | eng | es_ES |
| dc.rights | openAccess | es_ES |
| dc.subject | solar energy | es_ES |
| dc.subject | forecasting | es_ES |
| dc.subject | spatial analysis | es_ES |
| dc.subject | Moran’s I | es_ES |
| dc.subject | LISA | es_ES |
| dc.subject | China | es_ES |
| dc.subject | replication package | es_ES |
| dc.title | Replication package for: “From growth to spatial structure: Forecasting and clustering the evolution of solar energy across Chinese provinces” | es_ES |
| dc.type | other | es_ES |
| reunir.tag | ~OPU | es_ES |
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