Download our Physical Networks and Artificial Intelligence White Papers

Artificial Intelligence for Logistics & Supply Chains

The world of Supply Chain is transforming and even experiencing a real paradigm shift: pressure of demand, change of organizational models, regulatory evolutions…
Operators absolutely have to adapt to survive. In this context, one word often comes up: data. Perceived as a real lever of value, it is however not easy to exploit. Find out how data enables you to tackle new challenges in the supply chain.

Artificial Intelligence for Logistics & Supply Chains How to use data to tackle the new challenges of supply chains? White paper by DCbrain

Myth and reality of optimisation

A lot of BI tools are often advertised as Optimisation engine, whereas they only provide smart and quick-to-use dashboards. Hence the common feeling that the Big Data revolution failed to bring the promised value. At DCbrain, we believe that we can go from a data visualisation era to a data recommendation Era, meaning that optimisation based on data is possible, even for complex issues.

 Myth and reality of optimization: What is really possible and how to achieve high value gains through Data Analytics White Paper conducted by DCbrain

Artificial Intelligence for Utilities: now or never

We have been talking about Big Data since 1980 but the operational use of Big Data appeared around 2010. By implementing data lakes, the original use was to keep all the original data in order to refine the analysis with the help of data scientists and algorithms. Where are we in 2020?

ARTIFICIAL INTELLIGENCE FOR UTILITIES : Now or never ... How Big data has evolved and its impacts on all technical operations. White Paper conducted by DCbrain

Smart network management systems for district heating networks

Discover how DCbrain optimizes the management of heat networks. The problems of a heat network are complex but exciting, we will show you how we facilitate your management in real time. Includes Engie and Dalkia use cases.

SMART NETWORK MANAGEMENT SOFTWARE FOR DISTRICT HEATING NETWORKS How to optimise DHN operations with Hybrid AI? White Paper conducted by DCbrain

INTEGRATING GREEN GASES : How to reach new levels of performance with Hybrid AI ?

Gas transport and distribution networks face two main challenges today: New gas injections (Biomethane and Hydrogen) and economical pressure. Find out how we provide solutions with Hybrid AI. Includes use cases of GRDF, Régaz, Teréga & Fluxys.

  INTEGRATING GREEN GASES How to reach new levels of performance with Hybrid AI

Prescriptive energy management systems for industrial networks

Energy Management Systems have become indispensable in the industrial world. To those for whom the ISO 50001 standard and energy efficiency are familiar concepts, and looking for ways to go even further in optimizing their network, real time for example, we recommend this white paper. Includes use cases Total and Orano.

AI for Industries : Prescriptive Energy Management Systems for Industrial Networks

The digital transformation of utilities

Study led by Think SmartGrids: Successfully bet on the integration of data in the service of networks and its customers.

the digital tranSformation of utilitieS meeting the challenge of integrating data to serve networks and customers

Digitalization of the steam networks in a refinery

Every plant must monitor its energy flows as close as possible to its actual consumption. But how to do when you have data but not a tool that can exploit them in real time? The example of a Total plant and its steam network illustrates this common problem.


Predictive maintenance of the high-tension electrical grid Enedis

The main objective of the Predictive Maintenance project is to optimising networks and decrease in maintaining physical assets of the Industry. Here is the white paper with a real-time example of Enedis, a subsidiary of EDF (Electricité de France) illustrating this common problem.


Data Analytics in Utilities: The rise of new technologies

This study was driven by Think Smartgrids: The main objective of the project is to drag down the complexity of the energy systems with adaptability to the new technologies. It helps to get deeper insights and improves the planning, efficiency and sustainability of the system. This white paper describes a clear idea of 4 major technologies: Machine Learning, Digital Twins, Reinforcement Learning and Blockchain in the utilities sector.

 DATA ANALYTICS IN UTILITIES The rise of new technologies