Design posters showcasing your country's electrical grid
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Updated
Jul 14, 2026 - Python
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
[AI-EFFECT] Synthetic power transmission and distribution grid generation.
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)
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.
Szenariobasierte EV-Impact-Analyse in einem repräsentativen Niederspannungsnetz mit Python und pandapower.
Does an IEEE C57.91 cumulative-ageing model beat "peak load" at ranking which distribution transformers fail? No — uplift +0.014 AUC against a pre-registered 0.05 threshold. A killing experiment run in two days, before building the product. Six of eight predictions hit; two informative misses.
Genetic algorithm optimization for DER allocation in distribution grids using pandapower
Distribution system DMDU engine (OpenDSS + Smart-DS + NREL EULP + RDM).
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.
Design posters showcasing your country's electrical grid
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