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New Feature: Updated degradation estimation (with uncertainty) plus full loss factor analysis #123
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…rom the MC estimate
Loss factor analysis
bmeyers
had a problem deploying
to
test-deployment
March 15, 2024 18:48 — with
GitHub Actions
Failure
@pluflou the PyPI test build didn't like the github link in the requirements file:
|
and conda also choked
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adjust git repo spcqe dependency
Remove typo.
User experience improvements
pluflou
approved these changes
Mar 15, 2024
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Adds a new algorithm to
solardatatools.algorithms
calledLossFactorAnalysis
. This implements a signal decomposition algorithm for estimation of degradation and soiling losses in unlabeled daily energy production data. Model is of the formy_t = x_t * d_t * s_t * c_t * w_t, for t \in K
where
y_t
[kWh] is the measured real daily energy on each day,x_t
[kWh] is an ideal yearly baseline of performance,and
d_t
,s_t
, andw_t
are the loss factors for degradation, soiling, capacity changes, and weather respectively.K
isthe set of "known" index values, e.g. the days that we have good energy production values for (not missing or
corrupted).
Monte Carlo sampling of the data and problem parameters is used to estimate the degradation rate and its uncertainty. This algorithm has be integrated with the `DataHandler class.