Power Forecast
Reduce Imbalance. Maximize Results
Accurate, data-driven energy forecasts that optimize operations, reduce deviations, and enhance energy management.
Book an appointment now20+
GW
Forecasting applied to over 20 GW of installed capacity.
2,500
Assets
A broad portfolio across multiple technologies and asset sizes.
35%
Imbalance Cost Reduction
High accuracy that translates into measurable economic savings.
15
Countries
A global footprint supporting clients across diverse markets.
Data-Driven Renewable Energy Forecasting
Renewable energy generation is inherently exposed to weather-driven uncertainty and market volatility. For more than a decade, GNARUM has developed a state-of-the-art forecasting platform grounded in proprietary in-house R&D, integrating leading numerical weather prediction models, high-resolution real-time generation data, and advanced AI algorithms. These proprietary models deliver high-precision probabilistic power forecasts with robust uncertainty quantification.
TECHNOLOGIES
Powering renewables with smart Forecasts
The platform operates seamlessly across multiple spatial granularities—from individual sites to aggregated portfolios—and supports short, medium, and long-term forecasting horizons. Built on a highly scalable and interoperable technology stack, it enables high-frequency forecast updates through continuous ingestion of weather and plant signals, systematically reducing forecast error, managing risk, and enabling data-driven trading and portfolio optimization.
Wind Offshore
The offshore wind power forecasting service delivers industry-leading, area-specific wind power forecasts tailored to aggregated offshore wind connections. By leveraging advanced weather modeling, real-time operational data, advanced feature engineering, and cutting-edge machine learning models, the service enables TSOs and aggregators to efficiently manage multiple assets sharing offshore grid infrastructure, while improving balancing performance, planning accuracy, and overall operational reliability.
Wind Onshore
The onshore wind forecasting service delivers best-in-class accuracy, site-specific wind power forecasts through the integration of advanced weather modeling, real-time asset data, advanced feature engineering, and cutting-edge machine learning models. Leveraging hybrid and probabilistic forecasting techniques, it enables traders and asset managers to minimize forecast error, manage risk, and optimize energy management and trading strategies across onshore wind portfolios.
Solar Assets
The solar forecasting service delivers highly accurate, site and area-specific predictions of photovoltaic power output by integrating advanced modeling of diverse PV configurations with real-time plant telemetry and control-center signals, supported by cutting-edge machine learning algorithms. Designed to serve both large, grid-connected photovoltaic plants and portfolios of distributed assets, the service addresses key operational challenges encompassing curtailment dynamics, balancing service requirements, and grid compliance. By leveraging high-frequency operational data, the system enables real-time forecasting, reducing uncertainty and supporting reliable, efficient energy management and continuous trading.
Hydro Assets
The hydropower forecasting service delivers highly accurate, site-specific predictions of water inflow and power generation by integrating advanced real-time plant data, meteorological and hydrological data into advanced forecasting models. This enables operators, traders, and asset managers to enhance planning, reduce uncertainty, and ensure reliable and efficient energy management of hydroelectric assets.
Inside Forecast
Access a powerful web-based platform that centralizes portfolio and master data management, enables the integration of metering and operational data, including asset availability, streamline forecast submissions, and provides an eye-in-the-sky view of forecasting processes across your assets. Built on an open and flexible architecture, the platform allows customers to intelligently exploit GNARUM forecasts alongside forecasts from third-party providers selected and trusted by the customer.Â
The platform supports the configuration of forecast delivery in any required format and to any destination, with seamless, native integration into GNARUM’s Trade platform. Configurable user roles and administrative controls ensure security, data governance, and operational oversight, while comprehensive deviation reports with key performance indicators provide full visibility into forecast quality and performance. Seamless and secure API integration further enables efficient use of forecasts across internal client systems and workflows.
- Wind / Solar / Hydro
- Multi-resolution service​​
- Short Term / Real Time / TSO
- Granularity - 1 H / 15 min
FEATURES
Our services
Metering Dispatcher
A centralized control center for remote metering operations, enabling continuous data acquisition from installation meters and direct integration with the forecasting platform to support operational monitoring and forecasting processes.
Rolling Forecasting
A rolling forecasting service for intraday market operations, leveraging continuous measurement uploads to provide up to 24 daily forecast updates and support continuous trading.
Calibrated probabilistic Forecasting
A model-agnostic probabilistic forecasting service built on cutting-edge Conformal Prediction techniques, delivering best-in-class probabilistic calibration and robust uncertainty quantification. The service generates highly reliable, well-calibrated confidence intervals to support risk-aware operational and market decisions.
Ensemble Learning
A proprietary machine learning–based ensemble forecasting model that integrates GNARUM forecasts with customer-trusted external forecasters within an open architecture. By learning advanced error patterns across all inputs, the GNARUM ensemble delivers exceptionally accurate and robust forecasts, consistently outperforming any individual forecast source.
Benchmarking
Ongoing monitoring and reporting of forecast deviations across different forecasting sources to support operational oversight and performance management.
Switching
An automatic switching strategy for market submissions that selects the best-performing forecasting algorithm per plant according to specific evaluation criteria, enabling optimized physical and economic results in multi-provider, ensemble-based operational environments.
USE CASE
How to achieve optimal management of a renewable portfolio using Gnarum forecasts in a multi-provider environment
A client with a large portfolio of wind, solar, and hydro assets was manually managing forecasts from multiple providers. Gnarum integrated this portfolio into its forecasting system, automating the integration with other providers and creating synergies with its own forecasts, which drove outstanding overall performance through ensemble learning techniques and continuous optimization processes.
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Book an appointment now
Spain
Abedul Building, 7th Floor.
56 Serrano Galvache Rd.
Parque Norte
28033 Madrid,
Spain
+34 917 904 742
info@gnarum.com