Multiverse Computing – Optimisation of energy markets
Multiverse Computing
Sector: Energy
Business Case
Forecasting and optimisation of energy production based on meteorological and energy consumption/generation data.
Objectives
Research and development of an algorithm to solve hybrid quantum-classical stochastic problems, and its application to energy market problems with random variables.
Use case
Improve estimation error to transform accuracy into revenue. A 1% improvement translates into €1M per year.
Infrastructure
Edge
Technology
Automatic or Deep Learning Quantum
Data
Meteorological data, energy generation, energy demand and consumption. Generation of synthetic data for model development.
Resources
Repsol
Difficulties and learning
CDTI, Missions
KPIs (business impact and metrics of the model)
In-house staff: quantum and quantum-inspired engineers and software developers Subcontracting: DIPC and Tecnalia
