Case · Energy
Power grid — peak avoidance & renewables absorption
// PERSONA
Song, Grid Operations — power exchange
// INDUSTRY
Energy / Utilities
// DATASET
case_08 · grid_load_renewable.csv · hourly · 36 months
PROBLEM
The Problem
As renewables crossed 30% of generation, hourly volatility jumped sharply. Deciding which resources (pumped hydro, demand response, reserves) to dispatch at peak hours required a cross-variable simulation across weather, demand, and renewable output — and no such tool existed.
COMING SOON
APPROACH
XimTier Approach
Demand, generation, weather, and renewable output are regressed at hourly granularity. Set a peak-avoidance target and Reverse What-If outputs the optimal dispatch mix of available resources, with SHAP-based justification auto-attached to every energy-trading decision.
COMING SOON
OUTCOMES
Outcomes
OUT / 01
Peak-load avoidance +24%
OUT / 02
Auto-generated renewables-absorption scenarios
OUT / 03
SHAP rationale auto-attached to trading decisions
OUT / 04
Operating cost −7.8% via reserve optimization
⚠ Example data — fine-tuned on customer data at deployment.