This paper develops an optimization framework for energy communities that explicitly accounts for greenhouse gas (GHG) emissions through time-varying grid emission factors. A linear program is formulated with either a cost-minimizing or an emissions-minimizing objective, under identical operational constraints and with...
F. Lezama, Fábio Castro, T. D. de Lima et al.· 2026 International Conferenc...· 0 citations
The widespread adoption of Plug-in Electric Vehicles (PEVs) creates significant challenges for existing low-voltage (LV) distribution networks, including voltage deviations, load imbalance, and increased stress on grid assets. This paper proposes a multi-objective optimization framework for coordinated PEV charging tha...
Mohamad El Iaali, João P. Soares, Steffen Limmer et al.· 2026 International Conferenc...· 0 citations
Energy communities (ECs) are emerging as a key paradigm for decentralized, consumer-centric energy systems, yet their operation is challenged by uncertainty, asset heterogeneity, and the need for coordinated decision-making. Artificial intelligence (AI) has been widely applied to forecasting, optimization, and manage...
F. Lezama, Tayenne Dias de Lima, Fábio Castro et al.· Artificial Intelligence Revi...· 0 citations
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