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Design and Planning of Flexible Mobile Micro-Grids Using Deep
  Reinforcement Learning

Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning

Applied Energy (Appl. Energy), 2022
8 December 2022
Cesare Caputo
Michel-Alexandre Cardin
Pudong Ge
Fei Teng
A. Korre
Ehecatl Antonio del Rio Chanona
ArXiv (abs)PDFHTML

Papers citing "Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning"

2 / 2 papers shown
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRLAI4CE
251
7
0
26 Jul 2024
Deep reinforcement learning for process design: Review and perspective
Deep reinforcement learning for process design: Review and perspectiveCurrent Opinion in Chemical Engineering (Curr. Opin. Chem. Eng.), 2023
Qitong Gao
Artur M. Schweidtmann
AI4CE
206
41
0
15 Aug 2023
1
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