Gnarum integrated a client’s large portfolio of wind, solar, and hydro assets into its forecasting system, automating data from multiple providers and combining it with its own predictions. Through Ensemble Learning techniques and continuous optimization, the solution significantly improved overall performance.
Gnarum’s forecasting demand module helps retailers navigate Spain’s new quarter-hourly market by combining AI/ML, ensemble learning, and high-resolution data to deliver accurate, real-time predictions for large, complex portfolios—reducing imbalances and optimizing market operations.
Day-ahead and auction energy trading is increasingly complex, requiring precise, fast bidding across multiple markets—where manual processes lead to inefficiencies, higher risk, and missed opportunities.
OTC energy trading in Italy is complex and error-prone, but Gnarum’s cloud-based platform automates transfers and PCE scheduling, enabling faster, smarter, and more reliable operations.
Gnarum’s platform automates dispatch, forecasting, and trading for renewable assets, maximizing revenues while reducing risk. Real-time data and advanced algorithms ensure efficient, profitable operations across all markets.
Gnarum’s Supply Optimization as a Service helps energy resellers become active wholesale players, automating forecasting, trading, and portfolio management to maximize revenue and reduce risks.
Energy Trading System | XBID - Continuous Intraday Market
Helping a leading market agent operate efficiently in XBID. Monitoring markets in real time and executing automated trades. Maximizing returns and scaling trading operations seamlessly.
Energy Management services | Hybrid and Storage Assets
Helping a leading market agent operate efficiently in XBID. Monitoring markets in real time and executing automated trades. Maximizing returns and scaling trading operations seamlessly.
Gnarum delivers accurate, probabilistic day-ahead price forecasts for all 96 quarter-hour periods, helping traders and battery operators optimize strategies and manage risk in volatile energy markets.
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