2026/03/18 by Yuan Hu, Yu Liu · 1 voice
paper · doi:10.5281/zenodo.19079543
openalex publication_date 2026/03/18 · openalex created_date 2026/03/20 · openalex updated_date 2026/07/01
This repository provides data and code supporting the analyses presented in the study titled “Advancing solar and wind penetration in China via energy complementarity”. The archive contains: • Aggregated county-level hourly wind and solar generation time series used for complementarity and penetration analyses • Processed provincial load profiles used in renewable penetration modelling • Example geospatial vector data for wind turbines and solar photovoltaic (PV) installations in Qinghai Province, provided as an illustrative subset of the detection dataset • Analysis scripts for reconstructing county-level complementarity metrics and evaluating penetration improvements • Configuration files for the deep-learning models used in wind turbine detection and PV installation segmentation High-resolution geospatial data describing individual solar PV facilities and wind turbines across China cannot be publicly released due to sensitivity associated with critical energy infrastructure. Additional data supporting the findings of this study may be available from the corresponding author upon reasonable request and subject to institutional approval. For detailed usage instructions and repository structure, see README.md in the archive.