Forecasting + Markets

How AI and data reshape energy forecasting, grid stability and trading: dynamic pricing, prosumer markets, and cognitive systems for investors and operators.

AI-driven renewable energy forecasting software is projected to reach $2.18B by 2036. Learn how AI improves forecast accuracy, trading returns, and grid stability.

How AI and ML improve demand, supply, and price forecasting for electricity and renewables, and how traders use these forecasts to manage risk and capture volatility.

As electrification raises volatility, AI-driven forecasting and trading platforms are becoming essential. Learn how firms like Volue are scaling real-time intelligence.

Utility Trade and De Montfort University use AI in a KTP to improve energy forecasting and pricing, reducing trading risk and helping businesses meet sustainability targets.

How AI improves energy forecasting and trading: better demand and price predictions, lower imbalance costs, optimized renewable integration and practical trading strategies.

US AI in renewable energy is projected to reach $4.85B by 2032 at a 24.32% CAGR. Learn how AI improves forecasting accuracy, trading strategies, and what leading firms like ABB, Siemens and AWS mean for traders and investors.

Learn how AI boosts forecast accuracy, powers automated trading strategies, and delivers fast market edges for energy traders and grid operators.

How RWE AG is aligning renewables, battery storage and grid investments to meet surging AI data center power needs and accelerate the energy transition.

Discover how GridBeyond’s AI-driven forecasting and trading platform optimises ep Group’s 50MW North Baddesley BESS for revenue, lifespan and grid services.