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Recent Releases of DSWE

DSWE - v1.7.0

Changes:

  • Removed BayesTreePCFit(), as the underlying dependency is being archived.

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 over 1 year ago

DSWE - v1.6.2

Changes:

minor patch in AMK()

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 2 years ago

DSWE - v1.6.3

Changes:

added option to pass max_thinning_number in tempGP()

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 2 years ago

DSWE - v1.6.1

Changes:

Bug fixes in deltaEnergy()

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 3 years ago

DSWE - v1.6.0

Changes:

  1. New functions added for energy decomposition, deltaEnergy().
  2. tempGP() acceleration for fast computation.

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 3 years ago

DSWE - v1.5.1

This version is available on CRAN.

Changes:

  1. Bug fixes in tempGP()
  2. Integration of tempGP() hyperparameter estimation with funGP()

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 over 4 years ago

DSWE - v1.5.0

Changes:

A new function tempGP() added. This function uses Gaussian process to model the power curve and also explicitly models the temporal autocorrelation in power curves to improve prediction performance. The function tempGP() is coupled with two S3 methods: predict() and updateData() that operate on objects of class tempGP to compute the predictions and update data in the model, respectively.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 over 4 years ago

DSWE - v1.4.2

Changes:

Two new arguments (sampleSize and rngSeed) added to ComparePCurve() and funGP() to allow users to control the sample size and random seed when limitMemory is set to TRUE.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 over 4 years ago

DSWE - v1.4.1

Changes:

New function SvmPCFit() added for regression using SVM.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Binaries available:

  1. DSWE_1.4.1.zip, for Windows
  2. DSWE_1.4.1.tgz, for MacOS

Binary Installation:

  1. You can use the R command below to install all the dependencies and the DSWE package:
    source("https://raw.githubusercontent.com/TAMU-AML/DSWE-Package/development/.bin_install_script/bin_install.R")

  2. You can use the regular install.packages() command after downloading the binary file. Make sure to install the dependencies before you install the DSWE package.

Please install the following package dependencies before installing the package from a downloaded binary file:

  1. Rcpp (>= 1.0.4.6)
  2. matrixStats (>= 0.55.0)
  3. FNN (>= 1.1.3)
  4. KernSmooth (>= 2.23-16)
  5. mixtools (>= 1.1.0)
  6. BayesTree (>= 0.3-1.4)
  7. gss (>= 2.2-2)
  8. e1071 (>=1.7-3)

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.4.0

Major Changes:

Three new functions added:

  1. SplinePCFit()
  2. BayesTreePCFit()
  3. ComputeWeightedDifference()

Minor Changes:

Enhancements and patches for AMK() and ComparePCurve()

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Binaries available:

  1. DSWE_1.4.0.zip, for Windows
  2. DSWE_1.4.0.tgz, for MacOS

Binary Installation:

You can use the regular install.packages() command after downloading the binary file. Make sure to install the dependencies before you install the DSWE package.

Please install the following package dependencies before installing the package from a downloaded binary file:

  1. Rcpp (>= 1.0.4.6)
  2. matrixStats (>= 0.55.0)
  3. FNN (>= 1.1.3)
  4. KernSmooth (>= 2.23-16)
  5. mixtools (>= 1.1.0)
  6. BayesTree (>= 0.3-1.4)
  7. gss (>= 2.2-2)

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.3.4

Changes:

funGP() and ComparePCurve() updated to provide option to choose between two optimization routines: L-BFGS-B and BFGS. Default is set to L-BFGS-B.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Binaries available:

  1. DSWE_1.3.4.zip, for Windows
  2. DSWE_1.3.4.tgz, for MacOS

Binary Installation:

You can use the regular install.packages() command after downloading the binary file. Make sure to install the dependencies before you install the DSWE package.

Please install the following package dependencies before installing the package from a downloaded binary file:

  1. Rcpp (>= 1.0.4.6)
  2. matrixStats (>= 0.55.0)
  3. FNN (>= 1.1.3)
  4. KernSmooth (>= 2.23-16)
  5. mixtools (>= 1.1.0)

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.3.3

Changes:

AMK() updated to resolve nonfinite bandwidth issue

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Binaries available:

  1. DSWE_1.3.3.zip, for Windows
  2. DSWE_1.3.3.tgz, for MacOS

Binary Installation:

You can use the regular install.packages() command after downloading the binary file. Make sure to install the dependencies before you install the DSWE package.

Please install the following package dependencies before installing the package from a downloaded binary file:

  1. Rcpp (>= 1.0.4.6)
  2. matrixStats (>= 0.55.0)
  3. FNN (>= 1.1.3)
  4. KernSmooth (>= 2.23-16)
  5. mixtools (>= 1.1.0)

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.3.2

Changes:

A bug in KnnPredict() fixed

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Binaries available:

  1. DSWE_1.3.2.zip, for Windows
  2. DSWE_1.3.2.tgz, for MacOS

Binary Installation:

You can use the regular install.packages() command after downloading the binary file. Make sure to install the dependencies before you install the DSWE package.

Please install the following package dependencies before installing the package from a downloaded binary file:

  1. Rcpp (>= 1.0.4.6)
  2. matrixStats (>= 0.55.0)
  3. FNN (>= 1.1.3)
  4. KernSmooth (>= 2.23-16)
  5. mixtools (>= 1.1.0)

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.1.0

This is the first working copy of the DSWE package.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.2.0

Changes:

A new argument added in ComparePCurve function---'powerbins'. This argument is used to provide the number of bins of power to use while calculating the scaled difference between the power curves. Default is set to 15, which is approximately equal to 100 kW for a 1.5 MW class turbine.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.2.1

Changes:

A new argument added in ComparePCurve function---'baseline'. This argument provides the baseline or denominator power curve while computing all the percentage metric for power curve difference. It takes three values {0,1,2}. The value of 1 implies use the first power curve (power curve generated from dataset 1) as denominator in percentage calculation. 2 implies second power curve, and 0 implies the average of the two power curves. Default is set to 1.

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.2.2

Changes:

The problem of non-finite prediction for some of the test points resolved.

For installation, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago

DSWE - v1.3.1

Changes:

Underlying code for funGP() changed from R to C++

For installation using the source code, use the following command in R console:

remotes::install_github("TAMU-AML/[email protected]")

Binaries available:

  1. DSWE_1.3.1.zip, for Windows
  2. DSWE_1.3.1.tgz, for MacOS

Binary Installation:

You can use the regular install.packages() command after downloading the binary file. Make sure to install the dependencies before you install the DSWE package.

Please install the following package dependencies before installing the package from a downloaded binary file:

  1. Rcpp (>= 1.0.4.6)
  2. matrixStats (>= 0.55.0)
  3. FNN (>= 1.1.3)
  4. KernSmooth (>= 2.23-16)
  5. mixtools (>= 1.1.0)

Renewable Energy - Wind Energy - R
Published by abhinavprakash89 almost 5 years ago