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Get Weekly Average Filling Rate of Water Reservoirs and Hydro Storage Plants (16.1.D)

Source: R/en_generation.R
gen_storage_mean_filling_rate.Rd

Aggregated weekly average filling rate of all water reservoir and hydro storage plants (MWh) per area, including the same week value of the previous year.

Usage

gen_storage_mean_filling_rate(
  eic = NULL,
  period_start = ymd(Sys.Date() - days(x = 7L), tz = "CET"),
  period_end = ymd(Sys.Date(), tz = "CET"),
  tidy_output = TRUE,
  security_token = Sys.getenv("ENTSOE_PAT")
)

Arguments

eic

Energy Identification Code of the control area, bidding zone or country

period_start

POSIXct or YYYY-MM-DD HH:MM:SS format Maximum 380 days range limit applies

period_end

POSIXct or YYYY-MM-DD HH:MM:SS format Maximum 380 days range limit applies

tidy_output

Defaults to TRUE. If TRUE, then flatten nested tables.

security_token

Security token for ENTSO-E transparency platform

Value

A tibble::tibble() with the queried data.

See also

Other generation endpoints: gen_day_ahead_forecast(), gen_installed_capacity_per_pt(), gen_installed_capacity_per_pu(), gen_per_gen_unit(), gen_per_prod_type(), gen_wind_solar_forecasts()

Examples

df <- entsoeapi::gen_storage_mean_filling_rate(
  eic          = "10YFR-RTE------C",
  period_start = lubridate::ymd(x = "2020-01-01", tz = "CET"),
  period_end   = lubridate::ymd(x = "2020-01-31", tz = "CET"),
  tidy_output  = TRUE
)
#> 
#> ── API call ────────────────────────────────────────────────────────────────────────────────────────────────────────────
#> → https://web-api.tp.entsoe.eu/api?documentType=A72&processType=A16&in_Domain=10YFR-RTE------C&periodStart=201912312300&periodEnd=202001302300&securityToken=<...>
#> <- HTTP/2 200 
#> <- date: Mon, 13 Apr 2026 08:51:45 GMT
#> <- content-type: text/xml
#> <- content-disposition: inline; filename="Aggregate Filling Rate of Water Reservoirs_201912312300-202001302300.xml"
#> <- x-content-type-options: nosniff
#> <- x-xss-protection: 0
#> <- vary: accept-encoding
#> <- content-encoding: gzip
#> <- strict-transport-security: max-age=15724800; includeSubDomains
#> <- 
#> ✔ response has arrived
#> ✔ Additional type names have been added!
#> ✔ Additional eic names have been added!
#> ✔ Additional definitions have been added!

dplyr::glimpse(df)
#> Rows: 5
#> Columns: 21
#> $ ts_in_bidding_zone_domain_mrid  <chr> "10YFR-RTE------C", "10YFR-RTE------C", "10YFR-RTE------C", "10YFR-RTE------C"…
#> $ ts_in_bidding_zone_domain_name  <chr> "France", "France", "France", "France", "France"
#> $ type                            <chr> "A72", "A72", "A72", "A72", "A72"
#> $ type_def                        <chr> "Reservoir filling information", "Reservoir filling information", "Reservoir f…
#> $ process_type                    <chr> "A16", "A16", "A16", "A16", "A16"
#> $ process_type_def                <chr> "Realised", "Realised", "Realised", "Realised", "Realised"
#> $ ts_object_aggregation           <chr> "A01", "A01", "A01", "A01", "A01"
#> $ ts_object_aggregation_def       <chr> "Area", "Area", "Area", "Area", "Area"
#> $ ts_business_type                <chr> "A01", "A01", "A01", "A01", "A01"
#> $ ts_business_type_def            <chr> "Production", "Production", "Production", "Production", "Production"
#> $ created_date_time               <dttm> 2026-04-13 08:51:45, 2026-04-13 08:51:45, 2026-04-13 08:51:45, 2026-04-13 08:5…
#> $ revision_number                 <dbl> 1, 1, 1, 1, 1
#> $ time_period_time_interval_start <dttm> 2019-12-29 23:00:00, 2019-12-29 23:00:00, 2019-12-29 23:00:00, 2019-12-29 23:0…
#> $ time_period_time_interval_end   <dttm> 2020-02-02 23:00:00, 2020-02-02 23:00:00, 2020-02-02 23:00:00, 2020-02-02 23:0…
#> $ ts_resolution                   <chr> "P7D", "P7D", "P7D", "P7D", "P7D"
#> $ ts_time_interval_start          <dttm> 2019-12-29 23:00:00, 2019-12-29 23:00:00, 2019-12-29 23:00:00, 2019-12-29 23:0…
#> $ ts_time_interval_end            <dttm> 2020-02-02 23:00:00, 2020-02-02 23:00:00, 2020-02-02 23:00:00, 2020-02-02 23:0…
#> $ ts_mrid                         <dbl> 1, 1, 1, 1, 1
#> $ ts_point_dt_start               <dttm> 2019-12-29 23:00:00, 2020-01-05 23:00:00, 2020-01-12 23:00:00, 2020-01-19 23:0…
#> $ ts_point_quantity               <dbl> 2780215, 2742325, 2652974, 2426891, 2194236
#> $ ts_quantity_measure_unit_name   <chr> "MWH", "MWH", "MWH", "MWH", "MWH"