encode: encode meter data load shapes according to an existing...
In ConvergenceDA/visdomloadshape: R package for load shape clustering and analysis, extending the visdom package
Description
Usage
Arguments
Value
Description
given a matrix of raw meter data (one day per row), encodes each day into the closest fit culster
Usage
1
encode(rdata, dic, relerror = 0)
Arguments
rdata
raw data as a matrix with each row as a day of load data
dic
dictionary of cluster centers to use for encodings
relerror
whether to include relative error information in result
Value
encoding: closest shape code, daily sum, L2 err on normalized data, estimated threshold (relative L2 error)
ConvergenceDA/visdomloadshape documentation built on May 8, 2019, 8:34 a.m.
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Description Usage Arguments Value
Description
given a matrix of raw meter data (one day per row), encodes each day into the closest fit culster
Usage
1 | encode(rdata, dic, relerror = 0)
|
Arguments
rdata |
raw data as a matrix with each row as a day of load data |
dic |
dictionary of cluster centers to use for encodings |
relerror |
whether to include relative error information in result |
Value
encoding: closest shape code, daily sum, L2 err on normalized data, estimated threshold (relative L2 error)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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