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

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15 avr. 2023

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Latvian Journal of Physics and Technical Sciences

Édition 60 (2023): Edition 2 (Avril 2023)

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Publié en ligne: 15 avr. 2023

Pages: 17 - 30

DOI: https://doi.org/10.2478/lpts-2023-0008

Mots clés
Energy community, electric load, renewable energy, profiling, modeling, policy, open-source data, open-source tools

© 2023 E. Kairisa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Kairisa, E.

Institute of Power Engineering, Riga Technical University

Mutule, A.

Institute of Physical Energetics, Smart Grid Research Centre

Langue:: Anglais

Périodicité:: 6 fois par an
Sujets de la revue:: Physique, Physique technique et appliquée

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