Community of practice - Data-Driven Decision-Making in Energy

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Enhanced EU cooperation to generate knowledge sharing on data and analytics used for the planning and operation of European grids, and market integration; Better EU coordination with regard to planning and simulation tools to support the development of electricity grids and integration of RES are made available to the research, academia, grid operators, and key actors in the energy value chains; Coordinated processes to generate new and innovative open-source solutions, software modules etc. that are added to the existing and/or new repositories that support the development of grids and integration of high shares of RES; Improved EU-wide cooperation and coordination of actions on developing and utilising innovative data-driven solutions for energy, including AI-powered tools. Support to researchers and research organizations to maintain their research results FAIR (findable, accessible, interoperable, reusable) beyond research project ending and accommodating for technology evolution. Promotion of opensource practices and collaboration across the energy sector value chain to foster the industrialization of shared methods and standards in and by the energy industry. Scope: Projects are expected to: Facilitate the coordination and cooperation of key actors in the energy value chains (e.g. grid operators, research and academia, providers of technologies and solutions, energy…