Improving energy autonomy of positive energy districts using multi-agent deep reinforcement learning

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Dades bibliogràfiques
Publicat a:	Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 27798-27813
Autor principal:	Hribar, Jernej
Altres autors:	Mohorčič, Mihael, Čampa, Andrej
Publicat:	Nature Publishing Group
Matèries:	User behavior Deep learning Energy storage Optimization techniques Autonomy Electricity Heuristic Energy consumption Reinforcement Efficiency Vehicles Renewable energy Electric vehicles Renewable resources Cost reduction Energy management Solar energy Learning Linear programming Alternative energy sources Collaborative learning Households Self sufficiency Economic
Accés en línia:	Citation/Abstract Full Text Full Text - PDF
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