Ravenwits provides an AI-powered platform for wind, solar, demand and electricity-price forecasting, combined with go-to-market strategies and BESS optimization to improve the economic performance of renewable energy assets.
Forecast errors
cost utilities billions in imbalance penalties. Battery energy storage dispatch requires complex stochastic optimization, while uncertainty in electricity management can limit renewable energy penetration and reduce its financial viability.
Variable renewable generation makes it difficult for utilities and energy market participants to accurately forecast production, manage electricity prices and optimize battery storage, creating imbalance costs and reducing the financial viability of renewable assets.
Ravenwits combines proprietary AI architectures and algorithms for wind, PV, demand and price forecasting with stochastic optimization for BESS and go-to-market strategies. Its platform can be delivered through SaaS or on-premises solutions.
€0.5/MWh
Improvement is reported by Ravenwits over its best competitor for wind and PV forecasting, €0.7/MWh improvement for demand forecasting, and approximately 20% improvement in BESS economic performance over standard management.
By improving renewable generation forecasting and optimizing battery storage and market participation, Ravenwits helps utilities and asset owners better integrate variable renewable energy and extract more value from existing renewable capacity.
Approximately €0.5/MWh forecasting improvement for wind and PV, €0.7/MWh for demand forecasting, and approximately 20% improvement in BESS economic performance versus standard management.

Sandbox Program
Batch #13
HQ Country
Spain
Sector
Renewable Energy Technologies
Type of Solution
Software

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