Smart City Energy Analytics

Energy management is a major concern for cities, especially for environmental reasons. With the energy transition and its objective to gradually integrate into the total mix new renewable energy sources, energy production, transportation and distribution networks, known as “grids”, will increasingly evolve from a vertical and predictable architecture towards a horizontal mesh, “peer-to-peer,” and less and less predictable one. It is therefore essential for cities to adopt a more intelligent management to better manage their consumption but also production of energy.

In such a development, data management is becoming a major issue for electricity operators to take advantage of the exponential growth of data generated by the various stakeholders related to energy: data on individual consumption energy through devices increasingly connected; data mobility, electric vehicles; data on availability of production of renewable energy sources; etc.

With the new “Big Data” technologies, and their ability to extract relevant information from global and local behaviors or capabilities, it will be possible to obtain an interaction between buildings, neighborhoods, public transportation and electric vehicles considering constraints of the electrical network.

The actors of the city will become “smarter” because of their ability to measure and act more appropriately.


The SCE project aims to develop an open data analysis platform involving technology providers, system integrators, energy and transport services, operators and university research entities. This platform will enable the testing of different energetic management strategies and possibly see the emergence of new business models.

The project is divided into four major areas:

  • Collection/analysis/ Quality enhancement of heterogeneous data (sensors, social networks, etc.).
  • Modelling the energy behavior of the systems involved
  • Decision support through innovative, reliable and relevant reporting/visualization tools
  • Development of business models


  • Identify and select architectures and technologies for collecting and analyzing data
  • Seek new strategies on data visualization for decision support.
  • Evaluate the potential of technological components developed on different use cases and integrate them.
  • Ensure secure interoperability with other city infrastructure (transportation, lighting, buildings)

Targeted Markets

Market opportunities of this project concern the energy sector and more specifically:

  • Electricity network operators (producers, distributors)
  • Government (city manager, etc.).
  • “prosumers”
  • transport operators


Smart Territories
Industrial Partners
Alstom Artelys Engie Cosmo Tech G2 Mobility GE Grid solutions NovEner Reuniwatt Ecogélec Sherpa Engineering Solunergie
Academic Partners
CEA CentraleSupélec IFSTTAR
Project Manager
Amira Ben Hamida
amira.benhamida [at]