TrendAnalysis
TrendAnalysis.set_clearsky()
TrendAnalysis.sensor_analysis()
TrendAnalysis.clearsky_analysis()
TrendAnalysis.plot_degradation_summary()
TrendAnalysis.plot_soiling_rate_histogram()
TrendAnalysis.plot_soiling_interval()
TrendAnalysis.plot_soiling_monte_carlo()
TrendAnalysis.plot_pv_vs_irradiance()
TrendAnalysis.plot_degradation_timeseries()
degradation_classical_decomposition()
degradation_ols()
degradation_year_on_year()
soiling_srr()
monthly_soiling_rates()
annual_soiling_ratios()
SRRAnalysis
SRRAnalysis.run()
soiling_cods()
CODSAnalysis
CODSAnalysis.iterative_signal_decomposition()
CODSAnalysis.run_bootstrap()
AvailabilityAnalysis
AvailabilityAnalysis.run()
AvailabilityAnalysis.plot()
clip_filter()
quantile_clip_filter()
logic_clip_filter()
xgboost_clip_filter()
clearsky_filter()
csi_filter()
pvlib_clearsky_filter()
poa_filter()
tcell_filter()
normalized_filter()
two_way_window_filter()
insolation_filter()
hampel_filter()
directional_tukey_filter()
hour_angle_filter()
energy_from_power()
interpolate()
irradiance_rescale()
normalize_with_expected_power()
normalize_with_pvwatts()
pvwatts_dc_power()
delta_index()
check_series_frequency()
aggregation_insol()
get_clearsky_tamb()
degradation_summary_plots()
degradation_timeseries_plot()
soiling_monte_carlo_plot()
soiling_interval_plot()
soiling_rate_histogram()
availability_summary_plots()
tune_filter_plot()
Create a figure summarizing the availability analysis results. The analysis must be run using the run() method before using this method.
run()
fig
matplotlib.figure.Figure