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This work received funding from the European Union´s Horizon Europe research and innovation programme under grant agreement no. 101056765. Views and opinions expressed in this document are however those of the authors only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the grating authority can be held responsible for them. The authors received funding from the Portuguese Foundation for Science and Technology (FCT) under grant 2021.07754.BD (E.G.), CEECIND/01179/2017 (L.P.), UIDB/50009/2020 (L.P., A.E., and E.G.) and UIDB/50021/2020 (H.M.).
Repository main branch prior to submission to SoftwareX. Provides grounds for the development of RL solutions in Energy Communities. The repository can be found in: https://github.com/ECGomes/pyecom
Python, Energy Communities, Optimization
Python, Energy Communities, Optimization
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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