Source code for "Battery-Aided Load Shaping Strategies based on Reinforcement Learning for Optimal Privacy-Cost Trade-off in Smart Metering"
-
Updated
Apr 9, 2026 - Jupyter Notebook
Source code for "Battery-Aided Load Shaping Strategies based on Reinforcement Learning for Optimal Privacy-Cost Trade-off in Smart Metering"
Edge-deployed forecasting and deterministic load shaping for EV charging under battery-less microgrid constraints. Code release for the NextGCom 2026 EVOLVE Special Session paper.
Add a description, image, and links to the load-shaping topic page so that developers can more easily learn about it.
To associate your repository with the load-shaping topic, visit your repo's landing page and select "manage topics."