A Recommendation Strategy Proposal for an Energy Community Modeled as a Multi-agent System

Author:

Simoiu Mircea Ştefan,Făgărăşan Ioana,Ploix Stephane,Calofir Vasile,Iliescu Sergiu Stelian

Publisher

Springer International Publishing

Reference19 articles.

1. DIRECTIVE (EU) 2018/2001 of the European Parliament and of the Council of 11 December 2018 on the promotion of the use of energy from renewable sources (recast) (Text with EEA relevance) (2018). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2018.328.01.0082.01.ENG &toc=OJ:L:2018:328:TOC

2. MESA: agent-based modeling in Python 3+ - Mesa. 1 documentation. https://mesa.readthedocs.io/en/latest/

3. Amayri, M., Silva, C.S., Pombeiro, H., Ploix, S.: Flexibility characterization of residential electricity consumption: a machine learning approach. Sustain. Energy Grids Netw. 32, 100801 (2022). https://doi.org/10.1016/j.segan.2022.100801

4. European Parliament, Council of the European Union: Directive (EU) 2019/944 of the European Parliament and of the Council - of 5 June 2019 - on common rules for the internal market for electricity and amending Directive 2012/27/EU (2019). https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019L0944 &from=EN

5. Fan, G., et al.: Energy management strategies and multi-objective optimization of a near-zero energy community energy supply system combined with hybrid energy storage. Sustain. Cities Soc. 83, 103970 (2022). https://doi.org/10.1016/j.scs.2022.103970

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