Aria AI — Energy & Agriculture
Collection
Operations-research demos for cold-store energy, irrigation, microgrids, and harvest logistics. • 10 items • Updated
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
battery_id: string
name: string
name_fa: string
capacity_kwh: double
p_charge_kw: double
p_discharge_kw: double
eta_c: double
eta_d: double
soc_min: double
soc_max: double
soc_init: double
soc_end: double
vs
hist_day: int64
hour: int64
load_kwh: double
solar_kwh: double
weekend: int64
cloud_scale: double
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5040, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
battery_id: string
name: string
name_fa: string
capacity_kwh: double
p_charge_kw: double
p_discharge_kw: double
eta_c: double
eta_d: double
soc_min: double
soc_max: double
soc_init: double
soc_end: double
vs
hist_day: int64
hour: int64
load_kwh: double
solar_kwh: double
weekend: int64
cloud_scale: doubleNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Microgrid battery scenarios
Synthetic 24-hour industrial site used by the Microgrid battery-dispatch demo: one building load, rooftop PV, time-of-use tariff, and one battery.
Live Gradio app: alirezaaminzadeh/microgrid. Organization card: AriaAICompany/microgrid. Collection: Aria AI — Energy and Agriculture.
Generated data, seed 24. Load, PV and prices are synthetic. They are not a licensed meter record and not a control schedule for a real BMS.
Files
- data/profile.csv
- data/tariff.csv
- data/battery.csv
- data/history.csv
- data/settings.csv
- data/units.csv
- data/sample_preview.json
Units
Hourly energy is kWh. Power limits are kW; at a one-hour step they equal kWh. SOC is a fraction in [0, 1], not percent. Charge and discharge sit on the AC bus: SOC[t+1] = SOC[t] + ηc·charge − discharge/ηd.
License
CC-BY-4.0. Keep the synthetic-data label.
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