ALLSHIFT

Umbrella repository for Team SHIFT — an AI-driven hydrogen microgrid energy-management system for hospitals.

ALLSHIFT is the central hub that ties together the team's repositories, models, data, and planning documents. It links the four clusters — Energy Management, Simulations, Business & Economics, and AI & Control Systems — under one roof.

Mission

Accelerate the transition to resilient, low-carbon energy systems through AI-driven energy management. We develop intelligent control for critical infrastructure that optimizes renewables, storage, hydrogen technologies, and grid interaction — improving reliability, reducing emissions, and increasing efficiency where uninterrupted power matters most.

Founded in 2021 at the TU/e Innovation Space and Neuron (Eindhoven). Case studies: Beth Israel Deaconess Medical Center (BIDMC) and UC San Diego (UCSD).

The challenge

Hospitals need reliable, uninterrupted power while the grid grows more congested, less predictable, and more weather-dependent. With the Dutch "balancing system" being phased out from 2025, energy returned to the grid is only partially compensated. SHIFT answers with an AI-driven hydrogen microgrid that forecasts hospital demand, optimizes solar and battery use, and controls electrolyzers and fuel cells so every component runs at its full potential.

System architecture

Forecasters ──► Simulator (Gym-style env) ──► RL / rule-based controller
 (PV, demand,      wraps physical models       (dispatch policy)
  price)           PV · battery · PEM             │
      ▲            electrolyser · PEM fuel         ▼
      │            cell · H2 tank · grid       KPIs: unmet critical load ≈ 0,
   weather/                                    cost (€), CO₂, curtailment
   market data                                     │
                                                    ▼
                                          Business & Economics analysis

Dispatch priority cascade: PV → battery → hydrogen (fuel cell discharge / electrolyser charge) → external grid. Critical hospital load is always prioritised ("critical load is sacred").

Repositories

Repo	Purpose
.github	Organization profile — mission, vision, public face
website	Public site (Astro + Tailwind, Cloudflare Pages)
pre_model_01	Modeling sandbox — early model approaches
demo-repository	GitHub sample template
ALLSHIFT	This repo — project hub and documentation index

Clusters

• Energy Management — hospital load characterisation, PV/solar data, datasets and manuals.
• Simulations — MATLAB/Simulink physical models: PEM electrolyser, PEM fuel cell, hydrogen storage, battery, gravity storage; the dispatch controller.
• Business & Economics — cost and CO₂ accounting, viability analysis.
• AI & Control Systems — forecasting stack and the RL/rule-based control policy.

Key planning documents

• Forecasting requirements — specs for three forecasters:
  • PV generation — LightGBM + Temporal Fusion Transformer ensemble; inputs from KNMI NWP, solar position, clear-sky index.
  • Hospital electricity demand — TFT primary, LightGBM/XGBoost ensemble; ASHRAE Guideline 14 metrics.
  • Day-ahead electricity price — LEAR baseline → NBEATSx / DNN / TFT → ensemble.
  • Methodology: rolling walk-forward cross-validation, post-2022-crisis training data, readiness for the Oct 2025 15-minute market units (24 → 96 outputs/day).
• Simulator Interface Input/Output sheet — the typed contract between the simulator and everything that talks to it (controller, validation layer, economics): conventions, static config, per-timestep inputs/setpoints, outputs and KPIs, priority rules.

Status

Early development. Physical models and planning specs are in place; the simulator environment, forecasters, and control policy are being built out.

Contact

info@shifthydrogen.nl