Design posters showcasing your country's electrical grid

Physics-Informed Reinforcement Learning for Smart V2G EV Charging and Distribution Network Voltage Support.

A data-driven deep learning based fault diagnosis application for radial, active distribution grids

Open-source Julia tool for transmission and distribution expansion planning considering storage and demand flexibility

中国10kV/0.4kV配电网工程参数库 - Chinese Distribution Grid Engineering Parameter Library

Grid-Gent is a lightweight agentic assistant for early-stage distribution grid scenario screening (load, solar, hosting capacity)

[AI-EFFECT] Synthetic power grid and data generation.

Szenariobasierte EV-Impact-Analyse in einem repräsentativen Niederspannungsnetz mit Python und pandapower.

Distribution system DMDU engine (OpenDSS + Smart-DS + NREL EULP + RDM).

Genetic algorithm optimization for DER allocation in distribution grids using pandapower

A tool that solves a variation of the SwitchSelection problem for MV distribution grids. This repository accompanies our contribution to PSCC 2024.

Generative models of distribution-feeder operating data with power-flow guarantees: physics by representation beats physics by penalty. Full-year SimBench AC-PF datasets, graph-conditioned flows, calibrated pseudo-measurement generation — eight evidenced findings incl. three negative results.

Scenario-based PV hosting capacity analysis for a medium-voltage grid using Python and pandapower.

Do topology-aware grid foundation models survive feeder reconfiguration? SimBench MV study: the topology encoding is what transfers (2-8% voltage error on unseen feeders, flat across switching states) — with zero-shot, DC-baseline, and scale gaps named plainly.

Design posters showcasing your country's electrical grid