A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

Recent Releases of tsam

tsam - 2.3.6

Energy Systems - Energy System Modeling Frameworks - Python
Published by julian-belina 6 months ago

tsam - 2.3.5

Replaces 2.3.4 due to differences between github and pypi

Energy Systems - Energy System Modeling Frameworks - Python
Published by julian-belina 7 months ago

tsam - 2.3.4

  • Extend the reporting if time series tolerances are exceeded and add the option to silence them with a tolerance value.

  • set default tolerance value to 1e-13

Energy Systems - Energy System Modeling Frameworks - Python
Published by julian-belina 7 months ago

tsam - Version 2.3.3

Drop support for Python<3.9 and fix some depreciation warnings.

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur 9 months ago

tsam - Version 2.3.2

The pandas version is limited to be less than 3.0 as, some commands will be deprecated in the requirements. a new release in the setup, 2.3.2, and warning silence. Deprecation warnings are silenced.

Energy Systems - Energy System Modeling Frameworks - Python
Published by julian-belina 9 months ago

tsam - Version 2.3.1

  • accelerate rescale cluster periods
  • update documentation and include autodeployment

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur over 1 year ago

tsam - Version 2.3.0

  • Fix depreciated pandas functions
  • fix sum for distribution representation incl. min max vals - now mean value of representation equals mean value of original time series
  • add possibility to define segment representation
  • extend the default example
  • switch from travis to github workflow for ci

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur almost 2 years ago

tsam - Version 2.2.2

  • Fix Hypertuning class
  • Set high as new default MILP solver
  • Rework README

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur over 2 years ago

tsam - Version 2.1.0

Following functionality was added:

  • a hyperparameter tuning meta class which is able to identify the optimal combination of typical periods and segments for a given time series dataset

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur over 2 years ago

tsam - Version 2.0.1

tsam release (2.0.1) includes the following new functionalities:

  • Changed dependency of scikit-learn to make tsam conda-forge runnable.

Energy Systems - Energy System Modeling Frameworks - Python
Published by OfficialCodexplosive about 3 years ago

tsam - Version 2.0.0

In tsam’s latest release (2.0.0) the following functionalities were included:

  • A new comprehensive structure that allows for free cross-combination of clustering algorithms and cluster representations, e.g. centroids or medoids.
  • A novel cluster representation method that precisely replicates the original time series value distribution in the aggregated time series based on “Hoffmann, Kotzur and Stolten (2021): The Pareto-Optimal Temporal Aggregation of Energy System Models (https://arxiv.org/abs/2111.12072)”
  • Maxoids as representation algorithm which represents time series by outliers only based on “Sifa and Bauckhage (2017): Online k-Maxoids clustering”
  • K-medoids contiguity: An algorithm based on “Oehrlein and Hauner (2017): A cutting-plane method for adjacency-constrained spatial aggregation” that accounts for contiguity constraints to e.g. cluster only time series in neighboring regions

Energy Systems - Energy System Modeling Frameworks - Python
Published by OfficialCodexplosive over 3 years ago

tsam - Version 1.1.2

This tsam release (1.1.2) includes the following new functionalities

  • Added first version of the k-medoid contiguity algorithm

Energy Systems - Energy System Modeling Frameworks - Python
Published by OfficialCodexplosive over 3 years ago

tsam - Version 1.1.1

This tsam release (1.1.1) includes

  • Significantly increased test coverage
  • Separation between clustering and representation, i.e. for clustering algorithms like Ward’s hierarchical clustering algorithm the representation by medoids or centroids can now freely be chosen.

Energy Systems - Energy System Modeling Frameworks - Python
Published by OfficialCodexplosive over 3 years ago

tsam - Include build testing

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur over 6 years ago

tsam - First pypi release

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur almost 7 years ago

tsam - Clarify aggregation output structure

  • add second example which illustrates the output of the aggregation
  • add the second publication about storage modeling in readme
  • modify usable attributes to properties

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur about 7 years ago

tsam -

  • Improvement of extreme periods
  • Move to MIT license

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur over 7 years ago

tsam - v0.9.3

Patch to first public version with minor bug fixes

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur almost 8 years ago

tsam -

First public release

Features:

  • different aggregation methods implemented (averaging, k-mean, exact k-medoid, hierarchical), which are based on scikit-learn or pyomo
  • flexible integration of extreme periods as own cluster centers
  • weighting for the case of multidimensional time-series to represent their relevance

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur almost 8 years ago

tsam -

First public release of tsam

Energy Systems - Energy System Modeling Frameworks - Python
Published by l-kotzur almost 8 years ago