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pnnl/MBDRL

Software ·
DOI:https://doi.org/10.11578/dc.20231115.1· OSTI ID:code-115961 · Code ID:115961
 [1];  [1];  [1];  [2]; ;  [3];  [3];
  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  2. Colorado School of Mines, Golden, CO (United States)
  3. Google Inc.
+ Show Developer Affiliations
Model-based Deep Reinforcement Learning for Real-time Grid Emergency Voltage Control. A model-based Deep Reinforcement Learning (DRL) framework where a deep neural network (DNN)-based surrogate model is utilized within the control policy learning framework, making the learning process faster and more sample efficient
Short Name / Acronym:
MBDRL
Site Accession Number:
Battelle IPID 32896-E
Software Type:
Scientific
License(s):
BSD 2-clause "Simplified" License
Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Primary Award/Contract Number:
AC05-76RL01830
DOE Contract Number:
AC05-76RL01830
Code ID:
115961
OSTI ID:
code-115961
Country of Origin:
United States

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