PV Adoption Study Dataset and Python Code – Historical Data, Independent Parameters, Bayesian Analysis, and Optimization Model

This repository contains the dataset, Python code, and supporting analysis files for a study on photovoltaic (PV) adoption patterns across different states and system sizes. The dataset includes:Historical installation data per year, per state, and per system size.Nine independent parameters influencing PV adoption Bayesian analysis results from SPSS, including Bayes factors and average correlations.Sensitivity analysis results assessing model parameter effects.Input parameters for Python-based optimization of PV adoption models.The Python code (Appendix_B_Code.py) uses these inputs to reproduce optimization results, supporting transparency and reproducibility of the study.