Digital & Data Analytics

E-CUBE designs and develops bespoke or off-the-shelf data analysis and modelling solutions to harness the growing complexity and volume of data generated in the energy, transport, and infrastructure sectors. These solutions support both operational and strategic decision-making.

The value of our work lies in the dual expertise of our teams: the ability to apply advanced quantitative methods and a deep understanding of the technical, economic, and financial challenges of our clients’ businesses.

Examples of Questions Addressed by E-CUBE Models:

• Simulation of supply-demand balance for the European gas and electricity systems, including capacity dispatching (consumption, production, imports, storage, pricing, and flow across market zones) at DSO or European level.
• Valuation of production or flexibility assets for electricity, in particular hydroelectric facilities.
• Optimal sizing of renewable electricity and hydrogen production and storage facilities.
• Energy consumption forecasts by end use, based on building stock characteristics and economic activity.
• Market quantification and targeted client segmentation at a granular geographic level.
• Modelling the price of certificates for biomethane and biofuels (TIRUERT/TIRRIEGEST).
• Evolution of road vehicle fleets (passenger and freight) by energy source.
• Traffic and utilization analysis for fuel supply infrastructure: EV charging stations, CNG stations, and H2 stations (for light and heavy-duty vehicles).

E-CUBE’s Added Value:

• Deep understanding of the technical, economic, and financial issues faced by players in these sectors.
• Know-how on advanced quantitative tools and methods best suited for efficient and effective solutions.
• Detailed knowledge of leading public and commercial data sources to feed into these models.

E-CUBE’s tools can be developed in various programming languages and integrated into third-party technical architectures, whether on-site or in the cloud.