These are the results files from the paper "Wind and solar generation may reduce the inter-annual variability of peak residual load in certain electricity systems" in Applied Energy. Full citation to come. These results files are in pickle format and can be read using the python code documented in the README file here: https://github.com/truggles/Inter-annual_Variability_Residual_Load/tree/main/main_analysis The result file naming scheme corresponds to: baseline results file used in main analysis: `20210520v2` sensitivity to number of hours: `20210122v3` sensitivity to number of years: `20210122v2` sensitivity to detrending method: `20210122v1` sensitivity to hourly concurrent wind and solar data vs. "typical meteorological year" TMY data vs. random alignment of hourly wind and solar data (combined wind and solar values for year X with load data from year Y): `20210127v2` After the DATE and VERSION tag listed above is the DEMAND_DETRENDING method (DT = detrended with exponential fit [baseline] vs. NOM = no detrending) and WIND_AND_SOLAR method (NOM = aligned concurrent data [baseline] vs. PLUS1 = random alignment of load with wind and solar vs. TMY = typical meteorological year). Additionally, the number of peak hours considered and number of years considered in the data is listed in the file name.