Loss factor analysis #122
Loss factor analysis #122
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new utilities for time dilation
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Need to address dependencies:
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added |
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to-do list
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| This module is for estimation of degradation and soiling losses from unlabeled | ||
| daily energy production data. Model is of the form | ||
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| y_t = x_t * d_t * s_t * w_t, for t = 1,...,T |
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updated model has one additional factor and is aware of missing/bad days.
| error_metric = np.sum(np.abs(residual)) | ||
| return error_metric | ||
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| def make_problem( |
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consider moving to _osd_signal_decompositions.py
| self.soiling_energy_loss = None | ||
| self.capacity_change_loss = None | ||
| self.weather_energy_loss = None | ||
| self.weather_percent_loss = None |
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clean up imports (e.g. weather_percent_loss)
| fraction_hold=0.2, | ||
| method="median_unbiased", | ||
| verbose=False, | ||
| debug=False, |
| return _fig_decomp | ||
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| def model_wrapper(energy_model, use_ixs): |
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Consider using static methods from here onwards (@pluflou check best practice)
…rom the MC estimate
This branch contains the new algorithm for estimating PV system loss factors, including a degradation rate.