What we do

AI-Powered Renewable Energy Forecasting: precision for solar, wind & cold-climate operations

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Boost energy performance, reduce imbalance costs, and anticipate weather-driven risks with next-generation hybrid forecasting.

Our Global Footprint

Currently managed installed capacity (including pilots): 10 GW

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Managed capacity: —

Energy type: —

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Forecasting as a Service

Deep-learning powered forecasting infrastructure built for wind and solar operators: precise, resilient, and ready to plug into your existing data stack.

Digital Twin Technology

Peerless forecasting precision with a Deep Learning Digital Twin of every asset in your fleet.

30%
Cost reduction

Imbalancing Cost Savings

Up to 30% reduction in global imbalancing cost for energy operators.

Data Complexity Management

We manage the complexity of the data provided by the customers — cleaning, mapping and merging it automatically.

Superior Performance

Forecasting error as low as 7% nMAE — up to 40% better than the global market benchmark.

nMAE Score
Expected results by asset type
WIND
0.00%
nMAE · lower is better
Benchmark <7%
82 MW · Sep 2025
Median 0.00%
SOLAR
0.00%
nMAE · lower is better
Benchmark <5%
28.5 MW · Dec–Jan 2026
Median 0.00%

What we do

Our solutions

Why we are different

Our Azure cloud-based platform is capable of modeling the chaotic behavior of wind and solar plants at every single geographical point in the world, and it is fully scalable and ready to support large wind and solar portfolios.

Homegrown AI stack

Proprietary models that combine physical simulation with machine learning, tailored for wind and solar.

Next-Gen Digital Twin

Digital twin modeling down to the single turbine or solar panel, not just plant level.

Weekly dynamic calibration

Continuous recalibration keeps accuracy consistent over time.

Dynamic Model selection

Automatically selects the top three performing weather (NWP) models for every site.

Total focus on customer success

Hands-on support for data integration and ongoing performance monitoring.

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Case Studies
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Download our one pagers & cases studies

See how wind and solar operators use Renewcast's forecasts and trading signals to lower imbalance costs and capture more value from every MWh.

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Collage of slides from Renewcast presentations on wind and solar energy forecasting in Europe and Italy, featuring topics like wind farm portfolio, AI-powered ice power forecasting, error spread in power parks, and solar forecast performance.

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