The overall objective of CitInES is to design and develop a multi-scale multi-energy decision-making tool to optimize the energy strategy of cities or large industrial complexes by enabling them to define sustainable, reliable and cost-effective long-term energy plans.

The main objective of this project is to design new planning rules and operational principles for the optimal integration of EV for different network topologies and with different levels of DER penetration such as PV, wind and solar energy and micro CHP.Tools and methods will be developed that permit DSOs to design new or adapt existing planning rules and investment strategies to ensure technical efficiency and the cost-effective evolution of infrastructures to facilitate the mass roll-out of EV in networks characterized by different levels of DER penetration.

The IDE4L project will define, develop and demonstrate the entire system of distribution network automation, IT systems and applications for active network management. Active distribution networks will utilize distributed energy resources (DERs) for network management including both real time operation and long-term network planning viewpoints.

The DREAM project will lay the foundations for a novel heterarchical management approach of complex electrical power grids, providing new mechanisms for consumer involvement in economical and ecological electricity use as well as stable and cost effective integration of distributed renewable resources.Applying the principles of autonomous agent-based systems to the control and management of the electricity distribution grid will allow the system to constantly adjust to current operational conditions and make it robust to exogenous disturbances.

The SMARTSPACES service will enable public authorities in Europe significantly to improve their management of energy in the buildings they occupy. The implementation of operational services includes 11 pilot sites with more than 550 buildings in 8 countries (United Kingdom, France, Germany, Italy, Spain, Netherlands, Turkey, Serbia).

The main objective targeted by the SMARTV2G Project aims at connecting the electric vehicle to the grid by enabling controlled flow of energy and power through safe, secure, energy efficient and convenient transfer of electricity and data. This will entail, among other specific objectives, the development of a new generation of technologies allowing the seamless and user-friendly energy load of electric vehicles in urban environments in the frame of an intelligent energy supply network managed by an embedded control system.

INERTIA addresses challenge :“Data management infrastructures to allow electricity production and consumption to be measured, reported and controlled (and eventually credited or billed)” and aims to deliver an efficient Distribution Grid overlay control/management infrastructure that will maximize the response capacity of the vast small commercial prosumer base (tertiary buildings, offices etc), presenting incentives and delivering benefits through their automated active participation in the energy market.

SINGULAR investigates the effects of large-scale integration of renewables and demand-side management on the planning and operation of insular electricity grids, proposing efficient measures, solutions and tools towards the development of a sustainable and smart grid. Different network operation procedures and tools, based on innovative approaches of predictive electricity network operation, will be developed.

The INTrEPID project aims to develop technologies that will enable energy optimization of residential buildings, both performing an optimal control of internal sub-systems within the Home Area Network and also providing advanced mechanisms for effective interaction with external world, including other buildings, local producers, electricity distributors, and enabling energy exchange capabilities at district level. The project will have then three main objectives:A.

I3RES main goal is to develop a management tool for the distribution grid underpinned by:1) a monitoring system that integrates information from already installed systems (e.g. SCADA, EMS and smart meters); 2) energy production forecasting and network management algorithms that assist the distribution company in the management of massively distributed RES production and large scale RES production within the distribution network;3) data mining and artificial intelligence to analyse consumers' energy demand and production in the distribution grid.