# GridLoom — European Energy Forecast Lab

> Precomputed European demand, solar and price forecast experiments with held-out backtests. Not live forecasts, certified market predictions or network power-flow simulation.

- Canonical URL: https://khanix.co.technology/
- Methodology & Equations: https://khanix.co.technology/methodology/
- Interactive Browser Runtime: https://khanix.co.technology/run/
- Author & Root Entity: Mohammad Rezwan Khan, PhD (https://mrkhan.co.technology/#person)
- Ecosystem Directory: https://mklab.co.technology/
- Knowledge Graph JSON-LD: https://khanix.co.technology/knowledge-graph.jsonld

## Governing Mathematical Formulation & Units
- Formula: `ŷ_{t+h} = β_0 + Σ_k β_k Φ_calendar(t+h) + Σ_j α_j y_{t+h−24j} (Calendar-Ridge + Local-Seasonal ensemble with empirical residual quantile intervals [q_{0.10}, q_{0.90}])`
- Units: Load and solar generation in megawatts (MW); day-ahead electricity price in EUR/MWh; history window = 56 days (1,344 hourly rows ending 2026-10-05T00:00:00Z); forecast horizon = 72 hours.

## Reproducible Worked Example
Market DE:DE-LU (Germany/Luxembourg bidding zone, 1,344 hourly training rows from 2026-08-10 to 2026-10-04 UTC): At 2026-10-05T00:00:00Z, the 72-hour ahead load forecast is 40,682.27 MW with empirical interval [38,991.57 MW, 42,372.98 MW], evaluated alongside solar generation (MW) and price (EUR/MWh) held-out backtests.

## Benchmark Table
| Market Zone | Country | Target Variable | Training Rows | Horizon (h) | Sample Point (2026-10-05 00:00Z) | Lower / Upper Band |
| --- | --- | --- | --- | --- | --- | --- |
| DE:DE-LU | Germany | Load (MW) | 1,344 (56 d) | 72 h | 40,682.27 MW | 38,991.57 – 42,372.98 MW |
| FR:FR | France | Load (MW) | 1,344 (56 d) | 72 h | Precomputed Ensemble | 10th–90th Percentile Band |
| NL:NL | Netherlands | Solar & Price | 1,344 (56 d) | 72 h | Precomputed Ensemble | 10th–90th Percentile Band |

## 5-Domain Core Authority Ecosystem
1. Hub & Authority: https://mrkhan.co.technology/ (Mohammad Rezwan Khan, PhD - BESS QA/QC & Energy R&D)
2. Interactive Course & Twin: https://khanlab.co.technology/ (Datacenter Power Systems & What-If Simulator)
3. Microgrid Research: https://mkgrid.co.technology/ (HelioForge Energy Lab - Hybrid Energy Research)
4. Synthetic Energy Trading: https://mktrade.co.business/ (ZephyrTrade - Wind-Market Synthetic Backtesting)
5. Utility & Tool Suite: https://mklab.co.technology/ (MKLab - 68 Free Browser Engineering & Planning Apps)