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Audit every document in the repository, convert the non-markdown ones into markdown reports, and split current documentation from outdated material. docs/ — 31 markdown documents in seven numbered sections. Twenty are new reports generated from .docx / .pdf / .xlsx / .mlx / .m sources that were previously unreadable in the browser and undiffable in git. Each report carries a provenance block (source path, format, MD5) and links back to its original; all 13 recorded checksums verify against the files on disk. Machine-extraction losses (PDF table column interleaving, Word OMML equations, embedded figures) are called out explicitly rather than silently smoothed over. superseded/ — outdated material with a documented reason per entry: two byte-identical ClickUp re-exports, an older revision of the BIDMC/UCSD energy-flow doc (the retained copy adds the SoC Violation Rate KPI), a duplicate of Shift input data.docx, the May 2026 simulation plan, the root PV+Battery.md now covered by a fuller report, GitHub's stock demo-repository template, and a zero-byte placeholder. Its README also records what was deliberately NOT retired and why — the "Old Frameworks" and "Old Simulations" folders hold unique Simulink revisions, and "Big Ugly Folder" holds the only copy of framework revision 1.3. Findings worth flagging, all documented in the reports: - Simulink lineage recovered from each .slx's internal coreProperties.xml revision counter. The current model is Current Framework/Bobert0206_Initial_Simulation_Framework.slx (rev 2.7); the top-level copy is rev 1.3, five revisions behind. - Simulations/Constants.m is a truncated byte-prefix of the Current Framework copy, silently missing H2_leak, H2_cap and E_H2_vol_h. - The PEM electrolyser and fuel cell are unmodified MathWorks Simscape examples still at vendor defaults; the "10x bigger" sizing TODO recorded in Constants.m was never carried out. - controller-claude.m does not compile — undefined P_Electro_max, outputs unassigned on several paths. - The specification set uses two incompatible variable naming conventions and disagrees on action-space size (5 vs 16). - MA_hourly_load.csv (13.7 MB) is the same 35,040 rows as 89993-0.parquet (2.4 MB). - Clinical data is the MIMIC-IV *demo* (ODbL, 100 patients), not full MIMIC-IV — redistributable, but the licence and citation are unrecorded. Housekeeping: untrack 21 Simulink build artefacts (slprj/, *.slxc) and add ignore rules for them. Root README rewritten around the new layout. Recruitment notes naming individual candidates are excluded from version control via .gitignore rather than committed; the generic question template is kept in docs/07-team-and-operations/. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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Developing an AI-driven Hydrogen Microgrid Management System
Our Mission
SHIFT's mission is to accelerate the transition to resilient, low-carbon energy systems through AI-driven energy management. We develop intelligent control solutions for critical infrastructure that optimize renewables, storage, hydrogen technologies, and grid interaction. By combining engineering and artificial intelligence, we aim to improve reliability, reduce emissions, and increase energy efficiency where uninterrupted power matters most.
Our Vision
SHIFT envisions a future where clean, intelligent energy systems power the world's most critical infrastructure. Hybrid-Energy technologies, coordinated by AI, create autonomous energy networks that eliminate waste, cut emissions, and guarantee reliability.
About team SHIFT
SHIFT has one goal in mind: creating the next generation of intelligent, resilient, and sustainable energy systems powered by AI. Our mission is to tackle some of the most urgent challenges in today's energy landscape: How can critical infrastructure secure reliable power in an unstable grid? How can we reduce dependence on fossil fuels without compromising safety? And how can we enable this transition in a way that is both technologically innovative and economically viable? Our answer is an AI-driven energy management system that coordinates renewables, hydrogen, batteries, and grid interaction to deliver clean, uninterrupted power where it matters most. As a multidisciplinary student team, all our members are working hard to achieve our goals. Founded in 2021, we work from the TU/e Innovation Space and Neuron, the center of expertise for challenge-based learning and student entrepreneurship at TU/e.
Addressing the Challenge
Hospitals face a growing energy challenge: their demand for reliable, uninterrupted power is increasing, while the electricity grid is becoming more congested, less predictable, and more dependent on weather-driven renewable production. Starting in 2025, energy producers will only receive compensation for a portion of the energy they return to the grid, due to the Dutch government phasing out the "balancing system."
SHIFT is developing an AI-driven hydrogen microgrid designed specifically for healthcare environments. Our intelligent energy management system forecasts hospital demand, optimizes solar and battery usage, and controls electrolyzers and fuel cells to ensure every component operates at its full potential.
Teams
- Energy Management Cluster
- Simulations Cluster
- Business & Economics Cluster
- AI & Control Systems Cluster