The RESONANCE project develops an innovative software framework that provides means for rapid development and plug-and-play deployment of standard-compliant Customer Energy Manager (CEM), Resource Manager (RM), and their aggregation solutions. The CEM, specified in the EN 50491-12 standard family, is the next-generation demand-side flexibility management (DSFM) solution in Europe. CEM is a software agent that automates DSFM by interacting with smart appliances (represented by RMs), aggregators, and the markets to maximize customer benefits. According to the new EN 50491-12-2 standard, CEMs are envisioned to 1) provide a more deterministic demand response, and 2) be able to optimize consumer benefits with respect to multiple incentives and optimization targets. To achieve this, there is a need for accurate models of flexible assets (smart appliances) and model predictive control techniques to automate the decision-making within the customer premises. The RESONANCE Framework will facilitate the adoption of CEMs as the next generation DSFM system by significantly reducing the development efforts and costs. This is achieved with 1) a standard-compliant and modular system architecture, and 2) an innovative modeling pipeline that combines automated machine learning (AutoML) with physics-based modeling to provide accurate and robust models of flexible assets with minimum effort. The project brings together 19 partners (including a cluster with 40 organizations) with inter-disciplinary expertise and forms a basis for a cross-sector energy ecosystem that significantly contributes to the mobilization of DSFM at a large scale. Large scale piloting in six member states with a variety of consumer sectors, flexible assets (e.g. electric vehicles, HVAC systems, and white goods), stakeholders, and market settings (including sector integration with district heating) is utilized for demonstrating and validating the scalability and replication potential of the solutions.

CyberSEAS (Cyber Securing Energy dAta Services) ambition is to improve the resilience of energy supply chains, protecting them from disruptions that exploit the enhanced interactions and extended involvement models of stakeholders and consumers in complex attack scenarios, characterised by the presence of legacy systems and the increasing connectivity of data feeds. It has 3 strategic objectives: 1) countering the cyber risks related to highest impact attacks against EPES; 2) protecting consumers against personal data breaches and attacks; and 3) increasing the security of the Energy Common Data Space. All three objectives are equally important, since cyber-criminals are shifting tactics to favour multi-stage attacks in which stealing sensitive data is a precondition for the real attack, and enables them to maximise damage and profits (while traditionally infrastructure cyber-attacks used to be direct attacks to the machinery and typically targeted control systems, not data). Threat actors, especially large ones such as nation states, also carry out complex attacks that leverage supply chain dependencies, and this trend continues to grow, as highlighted in the July 2020 analysis by the Atlantic Council. Likewise, with the transition to scenarios where users are proactively involved, prosumer data is becoming more and more sensitive. To achieve these objectives, CyberSEAS delivers an open and extendable ecosystem of 30 customisable security solutions providing effective support for key activities, and in particular: risk assessment; interaction with end devices; secure development and deployment; real-time security monitoring; skills improvement and awareness; certification, governance and cooperation. CyberSEAS solutions are validated through experimental campaigns consisting of 100+ attack scenarios, tested in 3 labs before moving out to one of 6 piloting infrastructures across 6 European countries. Out of the 30 solutions, 20 will reach TRL8+ and 10 TRL7.

With the growth of renewables, the increased interconnection of European grids, the development of local energy initiatives, and the specific requirements on TSO – DSO cooperation as set forth in the different Network Codes and Guidelines, TSOs and DSOs face new challenges that will require greater coordination. The European Commission adopted legislative proposals on the energy market that promote cooperation among network operators as they procure balancing, congestion management and ancillary services. The measures encourage procurement of services at both the transmission and distribution level, recognizing that this will enable more efficient and effective network management, will increase the level of demand response and the capacity of renewable generation. TSOs and DSOs must now define the services they want to procure in collaboration with market participants, and must set up ways to procure them in a coordinated manner. Digitalisation is a key driver for coordination and active system management in the electricity grid, enabling TSOs and DSOs to optimise the use of distributed resources and ensure a cost-effective and secure supply of electricity but also empowers end-users to become active market participants, supporting self-generation and providing demand flexibility. To support the transformation, the INTERRFACE project will design, develop and exploit an Interoperable pan-European Grid Services Architecture to act as the interface between the power system (TSO and DSO) and the customers and allow the seamless and coordinated operation of all stakeholders to use and procure common services. State-of-the-art digital tools based on blockchains and big data management will provide new opportunities for electricity market participation and thus engage consumers into the INTERRFACE proposed market structures that will be designed to exploit Distributed Energy Resources.

COALESCE aims to develop a cross-optimization platform that enables integrated operation and interplay between the energy grids and the data and telecommunication networks. Telecommunication and data networks need energy, while energy grids need data to operate efficiently. This project will develop a framework that will optimize the interplay between energy grids and telecommunications and data networks in a way that both the infrastructure pillars (energy and telecommunications) are jointly sustainable and efficient. Through the Staff Exchange program, we will be able to exchange expertise and know-how between energy, data and telecommunications sectors across both academia and industry. We will assess how the proposed architecture performs by validating the framework against 4 use case scenarios; a) To investigate optimization algorithms for energy efficiency under simultaneous wireless information and power transfer (SWIPT) will be investigated in a local energy system context for a wireless sensor network. b) To develop a novel framework for predicting and validating trading optimization strategies for in-house energy asset management, considering battery storage, flexible domestic demand, windfarm, solar cells etc,. using neural network and transfer learning-based models; while maintaining sustainable and secure exchange of data and user (or individual residence) portfolio. c) To design novel set of measurement methodologies for the characterization of 5G/6G RAN's energy consumption and open data sets for analysis, parametric models of the energy consumption transfer function for the uplink and downlink and generative neural network models of the energy transfer function for the uplink and downlink. d) To formulate joint data-energy-transportation robust/stochastic optimization algorithms considering computational load flexibility, intermittent energy generation and storage and multi-agent learning algorithms for collaborative e-transportation and SLES.

The iFLEX project aims at empowering the consumers by making it as easy as possible for them to participate in demand response. A core concept of the project is the iFLEX Assistant, a novel software agent that acts between consumer(s), and their energy systems, various stakeholders and The iFLEX project aims at empowering the consumers by making it as easy as possible for them to participate in demand response. A core concept of the project is the iFLEX Assistant, a novel software agent that acts between consumer(s), and their energy systems, various stakeholders and external systems helping them to achieve mutual benefits through local energy management and DR. The iFLEX Assistants are designed to provide a common approach to enhance user experience, level of automation and personalization in a wide variety of DR and energy services. Because of different requirements of these services, the project provides a common software framework (i.e., iFLEX Framework) for developing application-specific iFLEX Assistants that are customized for the needs of particular service(s). The focus is especially on households and DR for supporting high penetration of renewables. In addition, there is a need for effective incentives and market structures that encourage consumers to invest in these innovative DR solutions. To this end, the iFLEX Assistants are customizable for different incentive and market mechanisms to allow exploitation of the solution in different countries and climatic regions, as well as, to enable A/B testing of different incentive and user engagement mechanisms with real-users. Although the focus is on electricity, the iFLEX project targets to overcome the current silo-approaches and provide holistic energy management that optimizes across various energy vectors. Co-creation with end-users is inherent in different project phases and coordinated by consumer organisation in the consortium. iFlex validation is carried out with field pilots in three climatic regions.