Estonia aFRR clearing prices
Automatically-activated Frequency Restoration Reserve (aFRR) energy clearing prices for the Estonian bidding zone. One value per 15-minute Market Time Unit, per direction (up or down). Sourced from Elering, refreshed hourly.
Endpoints
- Latest (rolling 7-day):
https://public-data.volton.energy/v1/afrr-clearing-price/latest.json - Per-day archive:
https://public-data.volton.energy/v1/afrr-clearing-price/{YYYY-MM-DD}.json— immutable, available from2025-04-15
Row schema
| Column | Type | Unit | Nullable | Description |
|---|---|---|---|---|
mtu_start |
string (date-time) | — | no | Market Time Unit start (ISO 8601 UTC). Each MTU is a 15-minute settlement interval. |
direction |
string enum: up | down | — | no | Activation direction: up = TSO buys energy from BSP, down = TSO sells back. |
price_eur_mwh |
number | EUR/MWh | yes | PICASSO marginal clearing price for activated aFRR energy in this direction. Null when no activation cleared. |
Top-level response: { schema_version, generated_at, meta, rows: [...] }
Code samples
curl
curl https://public-data.volton.energy/v1/afrr-clearing-price/latest.json
DuckDB
SELECT * FROM read_json_auto(
'https://public-data.volton.energy/v1/afrr-clearing-price/latest.json',
records = false
);
Python (pandas)
import pandas as pd
resp = pd.read_json('https://public-data.volton.energy/v1/afrr-clearing-price/latest.json')
df = pd.DataFrame(resp['rows'])
R (jsonlite)
library(jsonlite)
data <- fromJSON('https://public-data.volton.energy/v1/afrr-clearing-price/latest.json')
df <- data$rows
JavaScript (fetch)
const r = await fetch('https://public-data.volton.energy/v1/afrr-clearing-price/latest.json');
const { rows, meta } = await r.json();
Excel Power Query (M)
let
Source = Json.Document(Web.Contents("https://public-data.volton.energy/v1/afrr-clearing-price/latest.json")),
Rows = Source[rows],
AsTable = Table.FromRecords(Rows)
in
AsTable
Methodology
aFRR responds automatically to system frequency deviations within ~5 minutes — the middle reserve product between fast FCR (seconds) and slow mFRR (15 min). Activations clear at the marginal aFRR bid in the merit order, per 15-minute MTU and per direction.
Estonia joined the EU PICASSO platform on 9 April 2025; aFRR capacity procurement on the BBCM started six days later. Since then, Baltic aFRR clearing prices are derived from the cross-border PICASSO auction.
Prices may be null for an MTU when no activation occurred in that direction.
FAQ
- How does aFRR differ from mFRR?
- aFRR activates automatically within minutes via a continuous control signal (PICASSO). mFRR is manually-activated and slower — used to free up aFRR after a longer system imbalance. Both clear at 15-min MTU. aFRR typically settles in narrower price ranges than mFRR because activations are more frequent and smaller.
- Why might values be missing?
- Estonia joined PICASSO in April 2025; gaps before that mean the Baltic-only legacy market was active and the cross-border data is not in the same series. Within the live PICASSO era, missing MTUs reflect periods with no activation in that direction.
License + citation
Source: Elering / Baltic Transparency Dashboard via Volton, CC-BY-4.0. CC-BY-4.0.
Volton Technology OÜ (2026). Estonia aFRR clearing prices.
CC-BY-4.0. https://public-data.volton.energy/afrr-clearing-price/