Kpler

Power outage messages (UMMs) data coverage, definitions, and specifications

Outages Data Overview

Computation of Kpler's hourly price forward curve

Forward Curve Methodology

Sources, models, and processing of raw weather data (ECMWF, GFS)

Weather Data Overview

Two-step forecasting approach combining fundamental forecasts (load, wind, solar) and day-ahead price forecasts, up to 46 days ahead

Short Term Power Forecasts Methodology

Real-time alerts on European plant outages (UMMs) and fuel availabilities, tailored to your specific needs

Power Outages & Availability Alerting

Dispatchable power generation (nuclear, gas, coal, water reservoirs) forecasts, up to 14 days ahead

Dispatchable Power Generation Forecasts Methodology

Cleaned load and generation data with automatic outlier and gap correction

Platinum Data Correction Methodology

This article details the new data offerings enhancing our coverage of ancillary services and balancing markets

26 Feb 2026 - Extended Release Note: Balancing data

Day ahead aggregated curves & block orders data

Sensitivity Data Overview

Power availability forecasts built from outages (UMMs) and Kpler modeling adjustments methodology

Availability Forecasts Methodology

French nuclear unit refuelling counter methodology and fuel cycle indicators

Nuclear Refuelling Counter Methodology

2 April 2026 - Power Insight Release

19 June 2026 - Power Availability Model Update

Weather-year-based probabilistic forecasts for load, wind, solar, and day-ahead prices, driven by historical weather data and machine learning models.

Long Term Power Forecasts Methodology

2 July 2026 - Updates to EEX Datasets

Hamza Aourach

Charles Bozik

Raphael Khan

Power

YouTube

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