Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 151 items • Updated
tou_tariff_volatility dict | solar_surplus_midday dict | demand_response_event dict | carbon_quota_tight dict | machine_failure_rolling dict |
|---|---|---|---|---|
{
"description": "Peak/off-peak price spread widens; co-optimizer must shift flexible batches off-peak",
"factory": {
"horizon_hours": 24,
"baseload_kw": 90,
"machines": [
{
"machine_id": "M-A1",
"line_id": "LINE-A",
"name": "LINE-A M-A1",
"power_kw": 18,
"i... | {
"description": "Strong midday solar forecast; battery and flexible load must absorb the surplus to avoid curtailment",
"factory": {
"horizon_hours": 24,
"baseload_kw": 90,
"machines": [
{
"machine_id": "M-A1",
"line_id": "LINE-A",
"name": "LINE-A M-A1",
"power_kw"... | {
"description": "Utility requests a 2-hour load shed; co-optimizer commits reduction and dispatches battery + generator",
"factory": {
"horizon_hours": 24,
"baseload_kw": 90,
"machines": [
{
"machine_id": "M-A1",
"line_id": "LINE-A",
"name": "LINE-A M-A1",
"power_k... | {
"description": "Daily carbon quota cut 35%; generator use and grid peak-hour imports constrained by emissions",
"factory": {
"horizon_hours": 24,
"baseload_kw": 90,
"machines": [
{
"machine_id": "M-A1",
"line_id": "LINE-A",
"name": "LINE-A M-A1",
"power_kw": 18,
... | {
"description": "A key machine fails mid-horizon; rolling-horizon re-plans remaining orders on surviving capacity",
"factory": {
"horizon_hours": 24,
"baseload_kw": 90,
"machines": [
{
"machine_id": "M-A1",
"line_id": "LINE-A",
"name": "LINE-A M-A1",
"power_kw": 18... |
Carbon-Aware Co-Optimizer Scenarios
Synthetic 24-hour factory scenarios for the Carbon-Aware Production and Energy Co-Optimizer. Each scenario defines the machines, products, orders, grid tariff, solar forecast, battery, backup generator, demand-response contract and carbon policy.
Contents
scenarios.json-- the five benchmark scenarios (tou_tariff_volatility,solar_surplus_midday,demand_response_event,carbon_quota_tight,machine_failure_rolling).
Format
Each scenario is a JSON object with the factory configuration (machines, products, orders, grid, solar, battery, generator, demand response, carbon policy) and a textual description. See the repository for the generator source.
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