all AI news
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
May 7, 2024, 4:42 a.m. | Hinrikus Wolf, Luis B\"ottcher, Sarra Bouchkati, Philipp Lutat, Jens Breitung, Bastian Jung, Tina M\"ollemann, Viktor Todosijevi\'c, Jan Schiefelbein-
cs.LG updates on arXiv.org arxiv.org
Abstract: In the course of the energy transition, the expansion of generation and consumption will change, and many of these technologies, such as PV systems, electric cars and heat pumps, will influence the power flow, especially in the distribution grids. Scalable methods that can make decisions for each grid connection are needed to enable congestion-free grid operation in the distribution grids. This paper presents a novel end-to-end approach to resolving congestion in distribution grids with deep …
abstract arxiv availability cars change consumption course cs.ai cs.lg decisions distribution electric electric cars energy expansion flow heat influence measurement power reinforcement reinforcement learning scalable systems technologies transition type will
More from arxiv.org / cs.LG updates on arXiv.org
Testing the Segment Anything Model on radiology data
2 days, 6 hours ago |
arxiv.org
Calorimeter shower superresolution
2 days, 6 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US