Downloading CAISO Oasis Datasets#
Grid Status provides access to many CAISO OASIS datasets. If one is missing, please post an issue on GitHub and we will add it
import gridstatus
iso = gridstatus.CAISO()
# autoreload
%load_ext autoreload
%autoreload 2
List All Available Oasis Datasets
iso.list_oasis_datasets()
Dataset: transmission_interface_usage
+---------------+-----------+-------------------+
| Parameter | Default | Possible Values |
+===============+===========+===================+
| market_run_id | DAM | DAM, HASP, RRPD |
+---------------+-----------+-------------------+
| ti_id | ALL | N/A |
+---------------+-----------+-------------------+
| ti_direction | ALL | ALL, E, I |
+---------------+-----------+-------------------+
Dataset: schedule_by_tie
+-------------+------------------------+-------------------------------------------------------------------------------------------------+
| Parameter | Default | Possible Values |
+=============+========================+=================================================================================================+
| groupid | RTD_ENE_SCH_BY_TIE_GRP | RTD_ENE_SCH_BY_TIE_GRP, DAM_ENE_SCH_BY_TIE_GRP, RUC_ENE_SCH_BY_TIE_GRP, RTPD_ENE_SCH_BY_TIE_GRP |
+-------------+------------------------+-------------------------------------------------------------------------------------------------+
Dataset: as_requirements
+---------------+-----------+---------------------+
| Parameter | Default | Possible Values |
+===============+===========+=====================+
| market_run_id | DAM | DAM, HASP, RTM, 2DA |
+---------------+-----------+---------------------+
| anc_type | ALL | N/A |
+---------------+-----------+---------------------+
| anc_region | ALL | N/A |
+---------------+-----------+---------------------+
Dataset: as_clearing_prices
+---------------+-----------+-------------------------------------------------------------------------+
| Parameter | Default | Possible Values |
+===============+===========+=========================================================================+
| market_run_id | DAM | DAM, HASP |
+---------------+-----------+-------------------------------------------------------------------------+
| anc_type | ALL | ALL, NR, RD, RMD, RMU, RU, SR |
+---------------+-----------+-------------------------------------------------------------------------+
| anc_region | ALL | ALL, AS_CAISO, AS_SP26_EXP, AS_SP26, AS_CAISO_EXP, AS_NP26_EXP, AS_NP26 |
+---------------+-----------+-------------------------------------------------------------------------+
Dataset: fuel_prices
+----------------+-----------+-------------------+
| Parameter | Default | Possible Values |
+================+===========+===================+
| fuel_region_id | ALL | N/A |
+----------------+-----------+-------------------+
Dataset: ghg_allowances
No parameters
Dataset: wind_and_solar_forecast
No parameters
Get Data for specific dataset and set of parameters
iso.list_oasis_datasets("as_clearing_prices")
Dataset: as_clearing_prices
+---------------+-----------+-------------------------------------------------------------------------+
| Parameter | Default | Possible Values |
+===============+===========+=========================================================================+
| market_run_id | DAM | DAM, HASP |
+---------------+-----------+-------------------------------------------------------------------------+
| anc_type | ALL | ALL, NR, RD, RMD, RMU, RU, SR |
+---------------+-----------+-------------------------------------------------------------------------+
| anc_region | ALL | ALL, AS_CAISO, AS_SP26_EXP, AS_SP26, AS_CAISO_EXP, AS_NP26_EXP, AS_NP26 |
+---------------+-----------+-------------------------------------------------------------------------+
df = iso.get_oasis_dataset(
dataset="as_clearing_prices",
params={
"market_run_id": "DAM",
"anc_type": "RMU",
"anc_region": "AS_CAISO_EXP",
},
date="today",
)
df
| INTERVALSTARTTIME_GMT | INTERVALENDTIME_GMT | OPR_DT | OPR_HR | OPR_INTERVAL | OPR_TYPE | ANC_TYPE | ANC_REGION | MARKET_RUN_ID | XML_DATA_ITEM | MW | GROUP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2023-04-21T13:00:00-00:00 | 2023-04-21T14:00:00-00:00 | 2023-04-21 | 7 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 1 | 2023-04-22T05:00:00-00:00 | 2023-04-22T06:00:00-00:00 | 2023-04-21 | 23 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 2 | 2023-04-22T04:00:00-00:00 | 2023-04-22T05:00:00-00:00 | 2023-04-21 | 22 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 3 | 2023-04-21T08:00:00-00:00 | 2023-04-21T09:00:00-00:00 | 2023-04-21 | 2 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 4 | 2023-04-21T23:00:00-00:00 | 2023-04-22T00:00:00-00:00 | 2023-04-21 | 17 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 5 | 2023-04-22T02:00:00-00:00 | 2023-04-22T03:00:00-00:00 | 2023-04-21 | 20 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 6 | 2023-04-21T18:00:00-00:00 | 2023-04-21T19:00:00-00:00 | 2023-04-21 | 12 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 7 | 2023-04-22T03:00:00-00:00 | 2023-04-22T04:00:00-00:00 | 2023-04-21 | 21 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 8 | 2023-04-21T11:00:00-00:00 | 2023-04-21T12:00:00-00:00 | 2023-04-21 | 5 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 9 | 2023-04-21T16:00:00-00:00 | 2023-04-21T17:00:00-00:00 | 2023-04-21 | 10 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 10 | 2023-04-22T06:00:00-00:00 | 2023-04-22T07:00:00-00:00 | 2023-04-21 | 24 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 11 | 2023-04-21T10:00:00-00:00 | 2023-04-21T11:00:00-00:00 | 2023-04-21 | 4 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 12 | 2023-04-21T12:00:00-00:00 | 2023-04-21T13:00:00-00:00 | 2023-04-21 | 6 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 13 | 2023-04-21T14:00:00-00:00 | 2023-04-21T15:00:00-00:00 | 2023-04-21 | 8 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 14 | 2023-04-21T15:00:00-00:00 | 2023-04-21T16:00:00-00:00 | 2023-04-21 | 9 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 15 | 2023-04-21T22:00:00-00:00 | 2023-04-21T23:00:00-00:00 | 2023-04-21 | 16 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 16 | 2023-04-21T19:00:00-00:00 | 2023-04-21T20:00:00-00:00 | 2023-04-21 | 13 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 17 | 2023-04-22T00:00:00-00:00 | 2023-04-22T01:00:00-00:00 | 2023-04-21 | 18 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 18 | 2023-04-22T01:00:00-00:00 | 2023-04-22T02:00:00-00:00 | 2023-04-21 | 19 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 19 | 2023-04-21T07:00:00-00:00 | 2023-04-21T08:00:00-00:00 | 2023-04-21 | 1 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 20 | 2023-04-21T09:00:00-00:00 | 2023-04-21T10:00:00-00:00 | 2023-04-21 | 3 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 21 | 2023-04-21T17:00:00-00:00 | 2023-04-21T18:00:00-00:00 | 2023-04-21 | 11 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 22 | 2023-04-21T20:00:00-00:00 | 2023-04-21T21:00:00-00:00 | 2023-04-21 | 14 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
| 23 | 2023-04-21T21:00:00-00:00 | 2023-04-21T22:00:00-00:00 | 2023-04-21 | 15 | 0 | Hourly | RMU | AS_CAISO_EXP | DAM | RMU_CLR_PRC | 0 | 1 |
Query for Date Range
iso.list_oasis_datasets("as_requirements")
Dataset: as_requirements
+---------------+-----------+---------------------+
| Parameter | Default | Possible Values |
+===============+===========+=====================+
| market_run_id | DAM | DAM, HASP, RTM, 2DA |
+---------------+-----------+---------------------+
| anc_type | ALL | N/A |
+---------------+-----------+---------------------+
| anc_region | ALL | N/A |
+---------------+-----------+---------------------+
df = iso.get_oasis_dataset(
dataset="as_requirements",
params={
"market_run_id": "DAM",
},
start="2023-04-01",
end="2023-04-21",
)
df
| POS | MARKET_RUN_ID | ANC_TYPE | ANC_REGION | LABEL | XML_DATA_ITEM | MW | INTERVALSTARTTIME_GMT | INTERVALENDTIME_GMT | OPR_DT | OPR_HR | OPR_INTERVAL | GROUP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5 | DAM | NR | AS_CAISO | AS Regional AS Requirement Maximum | NS_REQ_MAX_MW | 0.00 | 2023-04-01T21:00:00-00:00 | 2023-04-01T22:00:00-00:00 | 2023-04-01 | 15 | 0 | 1 |
| 1 | 5 | DAM | NR | AS_CAISO | AS Regional AS Requirement Maximum | NS_REQ_MAX_MW | 0.00 | 2023-04-01T09:00:00-00:00 | 2023-04-01T10:00:00-00:00 | 2023-04-01 | 3 | 0 | 1 |
| 2 | 5 | DAM | NR | AS_CAISO | AS Regional AS Requirement Maximum | NS_REQ_MAX_MW | 0.00 | 2023-04-01T16:00:00-00:00 | 2023-04-01T17:00:00-00:00 | 2023-04-01 | 10 | 0 | 1 |
| 3 | 5 | DAM | NR | AS_CAISO | AS Regional AS Requirement Maximum | NS_REQ_MAX_MW | 0.00 | 2023-04-01T10:00:00-00:00 | 2023-04-01T11:00:00-00:00 | 2023-04-01 | 4 | 0 | 1 |
| 4 | 5 | DAM | NR | AS_CAISO | AS Regional AS Requirement Maximum | NS_REQ_MAX_MW | 0.00 | 2023-04-02T02:00:00-00:00 | 2023-04-02T03:00:00-00:00 | 2023-04-01 | 20 | 0 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 24955 | 4 | DAM | SR | AS_SP26_EXP | AS Regional AS Requirement Minimum | SP_REQ_MIN_MW | 93.54 | 2023-04-20T07:00:00-00:00 | 2023-04-20T08:00:00-00:00 | 2023-04-20 | 1 | 0 | 1040 |
| 24956 | 4 | DAM | SR | AS_SP26_EXP | AS Regional AS Requirement Minimum | SP_REQ_MIN_MW | 143.19 | 2023-04-20T18:00:00-00:00 | 2023-04-20T19:00:00-00:00 | 2023-04-20 | 12 | 0 | 1040 |
| 24957 | 4 | DAM | SR | AS_SP26_EXP | AS Regional AS Requirement Minimum | SP_REQ_MIN_MW | 102.52 | 2023-04-21T05:00:00-00:00 | 2023-04-21T06:00:00-00:00 | 2023-04-20 | 23 | 0 | 1040 |
| 24958 | 4 | DAM | SR | AS_SP26_EXP | AS Regional AS Requirement Minimum | SP_REQ_MIN_MW | 123.88 | 2023-04-20T23:00:00-00:00 | 2023-04-21T00:00:00-00:00 | 2023-04-20 | 17 | 0 | 1040 |
| 24959 | 4 | DAM | SR | AS_SP26_EXP | AS Regional AS Requirement Minimum | SP_REQ_MIN_MW | 103.25 | 2023-04-20T14:00:00-00:00 | 2023-04-20T15:00:00-00:00 | 2023-04-20 | 8 | 0 | 1040 |
24960 rows × 13 columns