4RES

Accurate Renewable Energy Production Forecasts

Who Will Benefit from Our RES Generation Forecasts?

Brokers/Energy Traders

Optimize energy sales at commodity exchanges. Develop precise schedules for prosumer sources to meet regulatory obligations.

Producers Generating Energy from Their Own Sources

Minimize high costs associated with the Balancing Market.

Distribution System Operators

Manage and mitigate the impact of unstable RES generation on networks and handle compensations related to non-market redispatching.

Energy Cluster or Cooperative Operators

Achieve local energy balance and maximize renewable energy consumption.

What We Offer

Daily solar and wind farm generation forecasts for the intraday and the day ahead.
Solar and wind farm production forecasts for the next 10 days, compliant with System Operation Guidelines.
Forecasts for both single, large generation units and groups of small, dispersed sources.
Predictions for atypical, yet increasingly common energy sources, including bifacial panels and PV tracker plants.
Handle power reductions, such as maintenance shutdowns, via email or API.
Daily service reliability checks, monthly forecast accuracy assessments, and periodic forecasting model improvements.

Discover Our Typical Service

We can launch the first service within 2 to 4 weeks upon receiving data about your energy plants, depending on the number of plants and data provided.

Looking for a Custom Service?

We can tailor our services to meet your specific needs, including:

Area-based forecasting, ideal for a large number of small sources,

such as prosumer micro installations.

Tracker source forecasting,

using current weather measurements or RES generation data.

Assessing the influence of unstable generation on energy network nodes.

Forecasting other phenomena,

such as energy consumption. 

We are eager to collaborate and approach each project individually, offering expert advice, in-depth analyses, and ready-made tools.

What Do You Gain by Choosing Us?

Highly Accurate Forecasts

We employ a range of forecasting techniques, including physical, statistical, and machine learning models, to select the optimal method for your specific needs.

We utilize three different weather data sources, including the globally renowned ECMWF model, ensuring we always use the best available weather forecasts.

Forecast Delivery Safety

Our system is hosted in a secure, professional cloud environment with resource redundancy and strict safety standards.

We guarantee stable forecast delivery through data source redundancy, ensuring you receive your forecast even if one source fails.

Discover Our Customers’ Success Stories

Tradea Case Study

More Profits with Reliable Forecasts of Energy Production from Renewables

Learn how Globema helped reduce Tradea’s Balancing Market participation costs thanks to reliable weather forecasts provided for 250 distributed solar and wind energy sources.

Explore More Case Studies

Discover how Globema can support your business! Read more success stories of our clients.

Our Strengths

We generate forecasts for over 850 RES objects with a total installed power of over 1.3 GW

Additionally, we provide area-based forecasts for over 6,000 wind and solar plants and prosumers, totaling 26 GW of installed power.

We’re active in green energy initiatives

We’ve developed our forecasting skills over many years

We focus on short and medium-term renewable energy production. Our aggregated predictive models are based on dedicated weather forecasts from the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw.

We’re a successful Research & Development Center

We have a strong track record in implementing innovative solutions for the energy market. Explore our R&D solutions.

We work with leading experts

We have long-standing partnerships with renowned scientists, particularly from the Institute of Electrical Power Engineering at Warsaw University of Technology and the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw.

We’re Trusted By

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