Uniper
An international energy company that operates roughly 19.5 GW of generation capacity in Europe
In 2022, Uniper used hybrid quantum computing simulations to enhance forecasting of steam mass flows in a biomass plant
Challenges
Solution
Results
Today’s neural networks cannot effectively manage the large amounts of data to forecast steam mass flow
Simulated a parallel hybrid neural network architecture to predict steam mass flow for two sensors 15 minutes ahead
Hybrid quantum model outperformed classical with 5.7x lower mean squared error loss
Challenges
Today’s neural networks cannot effectively manage the large amounts of data to forecast steam mass flow
Solution
Simulated a parallel hybrid neural network architecture to predict steam mass flow for two sensors 15 minutes ahead
Results
Hybrid quantum model outperformed classical with 5.7x lower mean squared error loss
“Quantum Computing is an emerging technology with significant potential. A realistic understanding of its disruptive potential and tangible benefits based on real-life use cases will boost innovation and provide sustainable solutions to the energy industry.” René Koch - Enterprise Architecture Lead at Uniper