Global Dataset of Solar Power Plants: Multidimensional Integration and Analysis
This provides a foundational resource for researchers and professionals in the energy sector to optimize solar energy use, though it is incremental as it builds on existing data collection efforts.
The study tackled the lack of integrated and detailed global solar power plant data by creating a standardized dataset with 27 attributes, resulting in a compiled dataset of 58,978 records to support energy sector applications.
The use of clean energy is a global trend, with solar photovoltaic plants serving as a cornerstone of this energy transition. To support this rapid growth, optimize energy utilization, and enable a wide range of applications and services, it is essential to have access to more sophisticated and detailed solar data. Specifically, existing datasets lack integration, contain significant gaps, and have limited geographic coverage. In contrast, this study proposes a reliable, standardized, and multidimensional dataset with a global scope. Through a reproducible methodology and automated processes, we have successfully collected, generated, and combined 27 attributes of geographic, topographic, logistical, climate, and power nature, which are critical for the study of photovoltaic plants worldwide. Based on descriptive statistical analysis of the 58,978 records comprising the compiled dataset, the raw data have been transformed into valuable information for the energy sector. This demonstrates the utility of this product as a source of knowledge discovery, publicly available to the academic and professional communities.