metadata
license: mit
language:
- en
task_categories:
- text-classification
tags:
- ai-infrastructure
- power-grid
- renewables
- storage
pretty_name: Clarus AI Load Renewable Intermittency Coherence Risk v0.1
dataset_id: ai-load-renewable-intermittency-coherence-risk-v0.1
domain: compute_energy_infrastructure
pillar: renewable_balance_coherence
series: XSYS-03
coherence_pair:
observable_a: ai_load_ramp_and_demand_spike
observable_b: renewable_variability_storage_and_grid_frequency_stress
ground_truth: ground_truth_label
validation_status: pre_release
What this repo is for
Detect when AI load ramps collide with renewable intermittency and balancing capacity fails.
Flags
high load ramp during renewable dip with weak storage
backup capacity too low to cover variability
frequency stress rising before curtailment
grid stress that cannot be explained by AI load alone