Ercot ========================== .. py:module:: gridstatus.ercot Module Contents --------------- Classes Summary ~~~~~~~~~~~~~~~ .. autoapisummary:: gridstatus.ercot.Document gridstatus.ercot.Ercot gridstatus.ercot.ERCOTSevenDayLoadForecastReport Functions ~~~~~~~~~ .. autoapisummary:: :nosignatures: gridstatus.ercot.parse_timestamp_from_friendly_name Attributes Summary ~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: gridstatus.ercot.ACTUAL_SYSTEM_LOAD_BY_FORECAST_ZONE gridstatus.ercot.ACTUAL_SYSTEM_LOAD_BY_WEATHER_ZONE gridstatus.ercot.DAM_ANCILLARY_SERVICE_PLAN_RTID gridstatus.ercot.DAM_CLEARING_PRICES_FOR_CAPACITY_RTID gridstatus.ercot.DAM_PRICE_CORRECTIONS_RTID gridstatus.ercot.DAM_SETTLEMENT_POINT_PRICES_RTID gridstatus.ercot.DAM_SYSTEM_LAMBDA_RTID gridstatus.ercot.ELECTRICAL_BUS_LOCATION_TYPE gridstatus.ercot.ERCOT_INDICATIVE_LMP_BY_SETTLEMENT_POINT_RTID gridstatus.ercot.GIS_REPORT_RTID gridstatus.ercot.HISTORICAL_DAM_LOAD_ZONE_AND_HUB_PRICES_RTID gridstatus.ercot.HISTORICAL_RTM_LOAD_ZONE_AND_HUB_PRICES_RTID gridstatus.ercot.HOURLY_RESOURCE_OUTAGE_CAPACITY_RTID gridstatus.ercot.HUB_SETTLEMENT_TYPES gridstatus.ercot.LMPS_BY_ELECTRICAL_BUS_RTID gridstatus.ercot.LMPS_BY_SETTLEMENT_POINT_RTID gridstatus.ercot.LOAD_ZONE_SETTLEMENT_TYPES gridstatus.ercot.LOCATION_TYPE_HUB gridstatus.ercot.LOCATION_TYPE_RESOURCE_NODE gridstatus.ercot.LOCATION_TYPE_ZONE gridstatus.ercot.LOCATION_TYPE_ZONE_DC gridstatus.ercot.LOCATION_TYPE_ZONE_DC_EW gridstatus.ercot.LOCATION_TYPE_ZONE_EW gridstatus.ercot.REAL_TIME_ADDERS_AND_RESERVES_RTID gridstatus.ercot.RESOURCE_NODE_SETTLEMENT_TYPES gridstatus.ercot.RTM_PRICE_CORRECTIONS_RTID gridstatus.ercot.SCED_SYSTEM_LAMBDA_RTID gridstatus.ercot.SETTLEMENT_POINT_LOCATION_TYPE gridstatus.ercot.SETTLEMENT_POINT_PRICES_AT_RESOURCE_NODES_HUBS_AND_LOAD_ZONES_RTID gridstatus.ercot.SETTLEMENT_POINTS_LIST_AND_ELECTRICAL_BUSES_MAPPING_RTID gridstatus.ercot.SHORT_TERM_SYSTEM_ADEQUACY_REPORT_RTID gridstatus.ercot.SIXTY_DAY_DAM_DISCLOSURE_REPORTS_RTID gridstatus.ercot.SIXTY_DAY_SCED_DISCLOSURE_REPORTS_RTID gridstatus.ercot.SOLAR_POWER_PRODUCTION_HOURLY_AVERAGED_ACTUAL_AND_FORECASTED_VALUES_BY_GEOGRAPHICAL_REGION_RTID gridstatus.ercot.SYSTEM_WIDE_ACTUALS_RTID gridstatus.ercot.TEMPERATURE_FORECAST_BY_WEATHER_ZONE_RTID gridstatus.ercot.THREE_DAY_HIGHEST_PRICE_AS_OFFER_SELECTED_RTID gridstatus.ercot.TWO_DAY_ANCILLARY_SERVICES_REPORTS_RTID gridstatus.ercot.UNPLANNED_RESOURCE_OUTAGES_REPORT_RTID gridstatus.ercot.WIND_POWER_PRODUCTION_HOURLY_AVERAGED_ACTUAL_AND_FORECASTED_VALUES_RTID Contents ~~~~~~~~~~~~~~~~~~~ .. py:data:: ACTUAL_SYSTEM_LOAD_BY_FORECAST_ZONE :value: 14836 .. py:data:: ACTUAL_SYSTEM_LOAD_BY_WEATHER_ZONE :value: 13101 .. py:data:: DAM_ANCILLARY_SERVICE_PLAN_RTID :value: 12316 .. py:data:: DAM_CLEARING_PRICES_FOR_CAPACITY_RTID :value: 12329 .. py:data:: DAM_PRICE_CORRECTIONS_RTID :value: 13044 .. py:data:: DAM_SETTLEMENT_POINT_PRICES_RTID :value: 12331 .. py:data:: DAM_SYSTEM_LAMBDA_RTID :value: 13113 .. py:class:: Document **Attributes** .. list-table:: :widths: 15 85 :header-rows: 0 * - **constructed_name** - None * - **friendly_name** - None * - **friendly_name_timestamp** - None * - **publish_date** - None * - **url** - None .. py:data:: ELECTRICAL_BUS_LOCATION_TYPE :value: 'Electrical Bus' .. py:class:: Ercot Bases: :py:obj:`gridstatus.base.ISOBase` Electric Reliability Council of Texas (ERCOT) **Attributes** .. list-table:: :widths: 15 85 :header-rows: 0 * - **ACTUAL_LOADS_FORECAST_ZONES_URL_FORMAT** - https://www.ercot.com/content/cdr/html/{timestamp}_actual_loads_of_forecast_zones.html * - **ACTUAL_LOADS_WEATHER_ZONES_URL_FORMAT** - https://www.ercot.com/content/cdr/html/{timestamp}_actual_loads_of_weather_zones.html * - **BASE** - https://www.ercot.com/api/1/services/read/dashboards * - **default_timezone** - US/Central * - **interconnection_homepage** - http://mis.ercot.com/misapp/GetReports.do?reportTypeId=15933 * - **iso_id** - ercot * - **LOAD_HISTORICAL_MAX_DAYS** - 14 * - **location_types** - None * - **markets** - None * - **name** - Electric Reliability Council of Texas * - **status_homepage** - https://www.ercot.com/gridmktinfo/dashboards/gridconditions **Methods** .. autoapisummary:: :nosignatures: gridstatus.ercot.Ercot.get_60_day_dam_disclosure gridstatus.ercot.Ercot.get_60_day_sced_disclosure gridstatus.ercot.Ercot.get_as_monitor gridstatus.ercot.Ercot.get_as_plan gridstatus.ercot.Ercot.get_as_prices gridstatus.ercot.Ercot.get_as_reports gridstatus.ercot.Ercot.get_available_seasonal_capacity_forecast gridstatus.ercot.Ercot.get_capacity_committed gridstatus.ercot.Ercot.get_capacity_forecast gridstatus.ercot.Ercot.get_dam_price_corrections gridstatus.ercot.Ercot.get_dam_spp gridstatus.ercot.Ercot.get_dam_system_lambda gridstatus.ercot.Ercot.get_energy_storage_resources gridstatus.ercot.Ercot.get_fuel_mix gridstatus.ercot.Ercot.get_highest_price_as_offer_selected gridstatus.ercot.Ercot.get_hourly_resource_outage_capacity gridstatus.ercot.Ercot.get_hourly_solar_report gridstatus.ercot.Ercot.get_hourly_wind_report gridstatus.ercot.Ercot.get_indicative_lmp_by_settlement_point gridstatus.ercot.Ercot.get_interconnection_queue gridstatus.ercot.Ercot.get_lmp gridstatus.ercot.Ercot.get_load gridstatus.ercot.Ercot.get_load_by_forecast_zone gridstatus.ercot.Ercot.get_load_by_weather_zone gridstatus.ercot.Ercot.get_load_forecast gridstatus.ercot.Ercot.get_raw_interconnection_queue gridstatus.ercot.Ercot.get_real_time_adders_and_reserves gridstatus.ercot.Ercot.get_real_time_system_conditions gridstatus.ercot.Ercot.get_reported_outages gridstatus.ercot.Ercot.get_rtm_price_corrections gridstatus.ercot.Ercot.get_rtm_spp gridstatus.ercot.Ercot.get_sara gridstatus.ercot.Ercot.get_sced_system_lambda gridstatus.ercot.Ercot.get_short_term_system_adequacy gridstatus.ercot.Ercot.get_spp gridstatus.ercot.Ercot.get_status gridstatus.ercot.Ercot.get_system_wide_actual_load gridstatus.ercot.Ercot.get_temperature_forecast_by_weather_zone gridstatus.ercot.Ercot.get_unplanned_resource_outages gridstatus.ercot.Ercot.parse_doc gridstatus.ercot.Ercot.read_doc gridstatus.ercot.Ercot.read_docs .. py:method:: get_60_day_dam_disclosure(date, end=None, process=False, verbose=False) Get 60 day DAM Disclosure data. Returns a dict with keys - "dam_gen_resource" - "dam_gen_resource_as_offers" - "dam_load_resource" - "dam_load_resource_as_offers" - "dam_energy_bids" - "dam_energy_bid_awards" and values as pandas.DataFrame objects The date passed in should be the report date. Since reports are delayed by 60 days, the passed date should not be fewer than 60 days in the past. .. py:method:: get_60_day_sced_disclosure(date, end=None, process=False, verbose=False) Get 60 day SCED Disclosure data :param date: date to return :type date: datetime.date, str :param end: if declared, function will return data as a range, from "date" to "end" :type end: datetime.date, str, optional :param process: if True, will process the data into standardized format. if False, will return raw data :type process: bool, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: dictionary with keys "sced_load_resource", "sced_gen_resource", and "sced_smne", mapping to pandas.DataFrame objects :rtype: dict .. py:method:: get_as_monitor(date='latest', verbose=False) Get Ancillary Service Capacity Monitor. Parses table from https://www.ercot.com/content/cdr/html/as_capacity_monitor.html :param date: only supports "latest" :type date: str :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with ancillary service capacity monitor data :rtype: pandas.DataFrame .. py:method:: get_as_plan(date, end=None, verbose=False) Ancillary Service requirements by type and quantity for each hour of the current day plus the next 6 days :param date: date of delivery for AS services :type date: datetime.date, str :param end: if declared, function will return data as a range, from "date" to "end" :type end: datetime.date, str, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with prices for ECRS, NSPIN, REGDN, REGUP, RRS :rtype: pandas.DataFrame .. py:method:: get_as_prices(date, end=None, verbose=False) Get ancillary service clearing prices in hourly intervals in Day Ahead Market :param date: date of delivery for AS services :type date: datetime.date, str :param end: if declared, function will return data as a range, from "date" to "end" :type end: datetime.date, str, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with prices for "Non-Spinning Reserves", "Regulation Up", "Regulation Down", "Responsive Reserves", "ERCOT Contingency Reserve Service" :rtype: pandas.DataFrame .. py:method:: get_as_reports(date, verbose=False) Get Ancillary Services Reports. Published with a 2 day delay around 3am central .. py:method:: get_available_seasonal_capacity_forecast(date='latest', verbose=False) Retrieves the forecasted demand (Load Forecast) and the forecasted available seasonal capacity (Available Capacity) for the next 6 days. Data is ephemeral and does not support past days. .. py:method:: get_capacity_committed(date='latest', verbose=False) Retrieves the actual committed capacity (the amount of power available from generating units that were on-line or providing operating reserves). Data is ephemeral and does not support past days. .. py:method:: get_capacity_forecast(date='latest', verbose=False) Retrieves the forecasted committed capacity (Committed Capacity) and the forecasted available capacity (Available Capacity) for the current day. Data is ephemeral and does not support past days. .. py:method:: get_dam_price_corrections(dam_type, verbose=False) Get RTM Price Corrections :param rtm_type: 'DAM_SPP', 'DAM_MCPC', 'DAM_EBLMP' :type rtm_type: str .. py:method:: get_dam_spp(year, verbose=False) Get Historical DAM Settlement Point Prices(SPPs) for each of the Hubs and Load Zones :param year: year to get data for. Starting 2011, returns data for the entire year :type year: int Source: https://www.ercot.com/mp/data-products/data-product-details?id=NP4-180-ER .. py:method:: get_dam_system_lambda(date, end=None, verbose=False) Get Day-Ahead Market System Lambda File is typically published around 12:30 pm for the day ahead https://www.ercot.com/mp/data-products/data-product-details?id=NP4-523-CD :param date: date to get data for :type date: str, datetime :param end: end time to get data for. If None, return 1 day of data. Defaults to None. :type end: str, datetime, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with day-ahead market system lambda data :rtype: pandas.DataFrame .. py:method:: get_energy_storage_resources(date='latest', verbose=False) Get energy storage resources. Always returns data from previous and current day .. py:method:: get_fuel_mix(date, verbose=False) Get fuel mix 5 minute intervals :param date: "latest", "today", and yesterday's date are supported. :type date: datetime.date, str :param verbose: print verbose output. Defaults to False. :type verbose: bool :returns: A DataFrame with columns; Time and columns for each fuel type :rtype: pandas.DataFrame .. py:method:: get_highest_price_as_offer_selected(date, verbose=False) Get the offer price and the name of the Entity submitting the offer for the highest-priced Ancillary Service (AS) Offer. Published with 3 day delay :param date: date to get data for :type date: str, datetime :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrameq :rtype: pandas.DataFrame .. py:method:: get_hourly_resource_outage_capacity(date: str | pandas.Timestamp, end: str | pandas.Timestamp | None = None, verbose: bool = False) -> pandas.DataFrame Hourly Resource Outage Capacity report sourced from the Outage Scheduler (OS). Returns outage data for for next 7 days. Total Resource MW doesn't include IRR, New Equipment outages, retirement of old equipment, seasonal mothballed (during the outage season), and mothballed. As such, it is a proxy for thermal outages. :param date: time to download. Returns last hourly report before this time. Supports "latest" :type date: str, pd.Timestamp :param end: end time to download. Defaults to None. :type end: str, pd.Timestamp, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with hourly resource outage capacity data :rtype: pandas.DataFrame .. py:method:: get_hourly_solar_report(date, end=None, verbose=False) Get Hourly Solar Report. Posted every hour and includes System-wide and geographic regional hourly averaged solar power production, STPPF, PVGRPP, and COP HSL for On-Line PVGRs for a rolling historical 48-hour period as well as the system-wide and regional STPPF, PVGRPP, and COP HSL for On-Line PVGRs for the rolling future 168-hour period. :param date: date to get report for. Supports "latest" or a date string :type date: str :param end: end date for date range. Defaults to None. :type end: str, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with hourly solar report data :rtype: pandas.DataFrame .. py:method:: get_hourly_wind_report(date, end=None, verbose=False) Get Hourly Wind Report. This report is posted every hour and includes System-wide and Regional actual hourly averaged wind power production, STWPF, WGRPP and COP HSLs for On-Line WGRs for a rolling historical 48-hour period as well as the System-wide and Regional STWPF, WGRPP and COP HSLs for On-Line WGRs for the rolling future 168-hour period. Our forecasts attempt to predict HSL, which is uncurtailed power generation potential. :param date: date to get report for. Supports "latest" :type date: str :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with hourly wind report data :rtype: pandas.DataFrame .. py:method:: get_indicative_lmp_by_settlement_point(date: str | pandas.Timestamp | tuple[pandas.Timestamp, pandas.Timestamp], end: str | pandas.Timestamp | tuple[pandas.Timestamp, pandas.Timestamp] | None = None, verbose: bool = False) -> pandas.DataFrame .. py:method:: get_interconnection_queue(verbose=False) Get interconnection queue for ERCOT Monthly historical data available here: http://mis.ercot.com/misapp/GetReports.do?reportTypeId=15933&reportTitle=GIS%20Report&showHTMLView=&mimicKey .. py:method:: get_lmp(date, end=None, location_type: str = SETTLEMENT_POINT_LOCATION_TYPE, verbose=False) Get LMP data for ERCOT normally produced by SCED every five minutes Can specify the location type to return "electrical bus" or "settlement point" data. Defaults to "settlement point" .. py:method:: get_load(date, end=None, verbose=False) Get load for a date :param date: "latest", "today", or a date string are supported. :type date: datetime.date, str .. py:method:: get_load_by_forecast_zone(date, verbose=False) Get hourly load for ERCOT forecast zones :param date: "today", or a date string are supported. :type date: datetime.date, str :param verbose: print verbose output. Defaults to False. :type verbose: bool :returns: pandas.DataFrame .. py:method:: get_load_by_weather_zone(date, verbose=False) Get hourly load for ERCOT weather zones :param date: "today", or a date string are supported. :type date: datetime.date, str :param verbose: print verbose output. Defaults to False. :type verbose: bool :returns: pandas.DataFrame .. py:method:: get_load_forecast(date, end=None, forecast_type=ERCOTSevenDayLoadForecastReport.BY_FORECAST_ZONE, verbose=False) Returns load forecast of specified forecast type. If date range provided, returns all hourly reports published within. Note: only limited historical data is available :param date: datetime to download. If `end` not provided, returns last hourly report published before. if "latest", returns most recent hourly report. if `end` provided, returns all hourly reports published after this date and before `end`. :type date: str, datetime :param end: if provided, returns all hourly reports published after `date` and before `end` :type end: str, datetime, :param forecast_type: The load forecast type. Enum of possible values. :type forecast_type: ERCOTSevenDayLoadForecastReport :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional .. py:method:: get_raw_interconnection_queue(verbose=False) .. py:method:: get_real_time_adders_and_reserves(date, end=None, verbose=False) Get Real-Time ORDC and Reliability Deployment Price Adders and Reserves by SCED Interval At: https://www.ercot.com/mp/data-products/data-product-details?id=NP6-323-CD :param date: date to get data for :type date: str, datetime :param end: end date to get data for :type end: str, datetime :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with ORDC data :rtype: pandas.DataFrame NOTE: data only goes back 5 days .. py:method:: get_real_time_system_conditions(date='latest', verbose=False) Get Real-Time System Conditions. Parses table from https://www.ercot.com/content/cdr/html/real_time_system_conditions.html :param date: only supports "latest" :type date: str :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with real-time system conditions :rtype: pandas.DataFrame .. py:method:: get_reported_outages(date=None, end=None, verbose=False) Retrieves the 5-minute data behind this dashboard: https://www.ercot.com/gridmktinfo/dashboards/generationoutages Data available at https://www.ercot.com/api/1/services/read/dashboards/generation-outages.json This data is ephemeral in that there is only one file available that is constantly updated. There is no historical data. .. py:method:: get_rtm_price_corrections(rtm_type, verbose=False) Get RTM Price Corrections :param rtm_type: 'RTM_SPP', 'RTM_SPLMP', 'RTM_EBLMP', 'RTM_ShadowPrice', 'RTM_SOGLMP', 'RTM_SOGPRICE' :type rtm_type: str .. py:method:: get_rtm_spp(year, verbose=False) Get Historical RTM Settlement Point Prices(SPPs) for each of the Hubs and Load Zones :param year: year to get data for Starting 2011, returns data for the entire year :type year: int Source: https://www.ercot.com/mp/data-products/data-product-details?id=NP6-785-ER .. py:method:: get_sara(url='https://www.ercot.com/files/docs/2023/05/05/SARA_Summer2023_Revised.xlsx', verbose=False) Parse SARA data from url. Seasonal Assessment of Resource Adequacy for the ERCOT Region (SARA) :param url: url to download SARA data from. Defaults to Summer 2023 SARA data. :type url: str, optional .. py:method:: get_sced_system_lambda(date, end=None, verbose=False) Get System lambda of each successful SCED Normally published every 5 minutes :param date: date or start time to get data for :type date: str, datetime, pd.Timestamp :param end: end time to get data for. If None, return 1 day of data. Defaults to None. :type end: str, datetime, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame :rtype: pandas.DataFrame .. py:method:: get_short_term_system_adequacy(date, end=None, verbose=False) Get Short Term System Adequacy published between date and end. :param date: date to get data for :type date: str, datetime :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with system adequacy data :rtype: pandas.DataFrame .. py:method:: get_spp(date, end=None, market: str = None, locations: list = 'ALL', location_type: str = 'ALL', verbose=False) Get SPP data for ERCOT Supported Markets: - ``REAL_TIME_15_MIN`` - ``DAY_AHEAD_HOURLY`` Supported Location Types: - ``Load Zone`` - ``Trading Hub`` - ``Resource Node`` .. py:method:: get_status(date, verbose=False) Returns status of grid .. py:method:: get_system_wide_actual_load(date, end=None, verbose=False) Get 15-minute system-wide actual load. This report is posted every hour five minutes after the hour. :param date: date to get data for :type date: str, datetime :param end: end time to get data for. Defaults to None. :type end: str, datetime, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with system actuals data :rtype: pandas.DataFrame .. py:method:: get_temperature_forecast_by_weather_zone(date, end=None, verbose=False) Get temperature forecast by weather zone in hourly intervals. Published once a day at 5 am central. :param date: date to get data for :type date: str, datetime :param end: end time to get data for. Defaults to None. :type end: str, datetime, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with temperature forecast data :rtype: pandas.DataFrame .. py:method:: get_unplanned_resource_outages(date: str | pandas.Timestamp, end: str | pandas.Timestamp | None = None, verbose: bool = False) -> pandas.DataFrame Get Unplanned Resource Outages. Data published at ~5am central on the 3rd day after the day of interest. Since the date argument is the publish date, if you want to get data for a specific date, pass in the date of interest - 3 days. :param date: publish date of the report :type date: str, datetime :param end: end date to download. Defaults to None. :type end: str, datetime, optional :param verbose: print verbose output. Defaults to False. :type verbose: bool, optional :returns: A DataFrame with unplanned resource outages :rtype: pandas.DataFrame .. py:method:: parse_doc(doc: pandas.DataFrame, dst_ambiguous_default: str = 'infer', verbose: bool = False, nonexistent: str = 'raise') .. py:method:: read_doc(doc: Document, parse: bool = True, verbose: bool = False, request_kwargs: dict | None = None, read_csv_kwargs: dict | None = None) .. py:method:: read_docs(docs: list[Document], parse: bool = True, empty_df: pandas.DataFrame | None = None, verbose: bool = False, request_kwargs: dict | None = None) .. py:data:: ERCOT_INDICATIVE_LMP_BY_SETTLEMENT_POINT_RTID :value: 13073 .. py:class:: ERCOTSevenDayLoadForecastReport Bases: :py:obj:`enum.Enum` Enum class for the Medium Term (Seven Day) Load Forecasts. The values are the report IDs. **Attributes** .. list-table:: :widths: 15 85 :header-rows: 0 * - **BY_FORECAST_ZONE** - 12311 * - **BY_MODEL_AND_STUDY_AREA** - 15953 * - **BY_MODEL_AND_WEATHER_ZONE** - 14837 * - **BY_WEATHER_ZONE** - 12312 .. py:data:: GIS_REPORT_RTID :value: 15933 .. py:data:: HISTORICAL_DAM_LOAD_ZONE_AND_HUB_PRICES_RTID :value: 13060 .. py:data:: HISTORICAL_RTM_LOAD_ZONE_AND_HUB_PRICES_RTID :value: 13061 .. py:data:: HOURLY_RESOURCE_OUTAGE_CAPACITY_RTID :value: 13103 .. py:data:: HUB_SETTLEMENT_TYPES :value: ['HU', 'SH', 'AH'] .. py:data:: LMPS_BY_ELECTRICAL_BUS_RTID :value: 11485 .. py:data:: LMPS_BY_SETTLEMENT_POINT_RTID :value: 12300 .. py:data:: LOAD_ZONE_SETTLEMENT_TYPES :value: ['LZ', 'LZ_DC'] .. py:data:: LOCATION_TYPE_HUB :value: 'Trading Hub' .. py:data:: LOCATION_TYPE_RESOURCE_NODE :value: 'Resource Node' .. py:data:: LOCATION_TYPE_ZONE :value: 'Load Zone' .. py:data:: LOCATION_TYPE_ZONE_DC :value: 'Load Zone DC Tie' .. py:data:: LOCATION_TYPE_ZONE_DC_EW :value: 'Load Zone DC Tie Energy Weighted' .. py:data:: LOCATION_TYPE_ZONE_EW :value: 'Load Zone Energy Weighted' .. py:function:: parse_timestamp_from_friendly_name(friendly_name) .. py:data:: REAL_TIME_ADDERS_AND_RESERVES_RTID :value: 13221 .. py:data:: RESOURCE_NODE_SETTLEMENT_TYPES :value: ['RN', 'PCCRN', 'LCCRN', 'PUN'] .. py:data:: RTM_PRICE_CORRECTIONS_RTID :value: 13045 .. py:data:: SCED_SYSTEM_LAMBDA_RTID :value: 13114 .. py:data:: SETTLEMENT_POINT_LOCATION_TYPE :value: 'Settlement Point' Report Type IDs .. py:data:: SETTLEMENT_POINT_PRICES_AT_RESOURCE_NODES_HUBS_AND_LOAD_ZONES_RTID :value: 12301 .. py:data:: SETTLEMENT_POINTS_LIST_AND_ELECTRICAL_BUSES_MAPPING_RTID :value: 10008 .. py:data:: SHORT_TERM_SYSTEM_ADEQUACY_REPORT_RTID :value: 12315 .. py:data:: SIXTY_DAY_DAM_DISCLOSURE_REPORTS_RTID :value: 13051 .. py:data:: SIXTY_DAY_SCED_DISCLOSURE_REPORTS_RTID :value: 13052 .. py:data:: SOLAR_POWER_PRODUCTION_HOURLY_AVERAGED_ACTUAL_AND_FORECASTED_VALUES_BY_GEOGRAPHICAL_REGION_RTID :value: 21809 Settlement Point Type Description ========== ========== =========== Resource Node RN Resource Node for normal resource Resource Node PCCRN Physical Resource Node for combined cycle units Resource Node LCCRN Logical Resource Node for combined cycle plant Resource Node PUN Private Area Network Resource Node Load Zone LZ Congestion Load Zone Load Zone LZ_DC DCTIE Load Zone Hub HU Hub Hub SH ERCOT_345KV_HUBBUSES_AVG Hub AH ERCOT_HUB_AVG ============================================================ Source: https://www.ercot.com/files/docs/2009/10/26/07_tests_for_rsnable_lmps_overview_of_price_valid_tool_09102.ppt .. py:data:: SYSTEM_WIDE_ACTUALS_RTID :value: 12340 .. py:data:: TEMPERATURE_FORECAST_BY_WEATHER_ZONE_RTID :value: 12325 .. py:data:: THREE_DAY_HIGHEST_PRICE_AS_OFFER_SELECTED_RTID :value: 13018 .. py:data:: TWO_DAY_ANCILLARY_SERVICES_REPORTS_RTID :value: 13057 .. py:data:: UNPLANNED_RESOURCE_OUTAGES_REPORT_RTID :value: 22912 .. py:data:: WIND_POWER_PRODUCTION_HOURLY_AVERAGED_ACTUAL_AND_FORECASTED_VALUES_RTID :value: 13028