########################################################################################################################### A critical overview of privacy-preserving approaches for collaborative forecasting, International Journal of Forecasting https://doi.org/10.1016/j.ijforecast.2020.06.003 ########################################################################################################################### The available material includes: - admm_functions.R: R script with ADMM algorithm implementation. - clear_sky_functions.R: R script to estimate clear-sky solar power generation with the model described in Bacher et al. (2009). - coef_generator.R: R script with the functions for generating VAR model coecients, according to the implementation in (Virolainen, 2020). - run_experiments.R: R script with the commands for generating the results of Section 3.3.1. - c_sky.csv: estimated clear-sky solar power generation. - normalized_PVdata.csv: normalized (with clear-sky model) solar power time series data. - PVdata.csv: solar power time series data.