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Reliable Data Profiling for Energy Communities – Review of Open-Source Approaches Cover

Reliable Data Profiling for Energy Communities – Review of Open-Source Approaches

Latvian Journal of Physics and Technical Sciences
Volume 60 (2023): Issue 2 (April 2023)
By: E. Kairisa and  A. Mutule  
Open Access
|Apr 2023
Authors

Authors

E. Kairisa

Evita.Kairisa@rtu.lv

Institute of Power Engineering, Riga Technical University

A. Mutule

Institute of Physical Energetics, Smart Grid Research Centre
DOI: https://doi.org/10.2478/lpts-2023-0008 | Journal eISSN: 2255-8896 | Journal ISSN: 0868-8257
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Language: English
Page range: 17 - 30
Published on: Apr 15, 2023
Published by: Institute of Physical Energetics
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
Energy community,
electric load,
renewable energy,
profiling,
modeling,
policy,
open-source data,
open-source tools
Related subjects:
Physics,
Technical and applied physics

© 2023 E. Kairisa, A. Mutule, published by Institute of Physical Energetics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 60 (2023): Issue 2 (April 2023)
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