Projeto PRR

Sumário

The researcher will work on real time management of energy resources considering distributed and renewable energy generation, energy storage, demand response, and electric vehicles at different levels, including distribution systems, aggregators, energy communities, and buildings. The efficient management of energy resources is of crucial importance for efficient and sustainable energy systems. This must be done considering all the involved stakeholders and using a user-centric approach ensuring a fair and just energy transition. Modelling the different players in the scope of wholesale and local electricity markets, considering their individual and collective goals, and adequately representing their knowledge and negotiation strategies is required to have high quality models able to automate the players decision making towards the fulfilment of the respective goals. Agents and Multi-Agent Systems (MAS) can be used for this purpose, providing a rich environment where the different organizations and players are simulated in real-time. The research shouldaddress the complex large dimension optimization problems that are involved and provide models able to be used by different players and organizations.Significant advancements on the modelling of the complex reality with the aim to use the designed models for real time management and urgently required so that energy efficiency and renewable energy goals are met ensuring a fast and just energy transition.The Auxiliary Researcher to be hired will perform the following tasks:- Study of the state of the art and experimentation of existing models, including GECAD’s infrastructures- Design and development of agent and MAS models able to represent the complex reality of today and future Power and Energy Systems (PES), considering all types of electricity markets and the different organizations playing in the sector- Design and development of new models able to solve the complex large dimension optimization problems in the targeted problem, using metaheuristic approaches- Implementation of the proposed models and their inclusion in GECAD demonstration infrastructures- Test and validation of the proposed models using GECAD’s labs and demonstration infrastructures with use cases and large sets of realistic case studies considering buildings, energy communities, local markets, demand response, energy storage, and electric vehicles.- Preparation and submission of proposals for R&D project funding in competitive calls, with emphasis on international projects- Projects’ teams, work packages, and tasks coordination- Contribution to GECAD R&D Projects, including participation in meetings and production of Deliverables and other Reports- Cooperation with other researchers of GECAD, from senior researchers to young researchers, in the aims of the research activities in the scope of the job- Coordination of Laboratory activities, including prototyping, and preparation of case studies, simulation studies, and the respective analysis and presentation of results- Supervision of MSc and PhD theses- Ensuring that the R&D activities impact is significant, at national and international level- Coordination of design and computational implementation of methods, algorithms, and computational applications and systems- Coordination of the integration and reformulation of existing and developed computational applications and systems- Coordination of the availability of all the source codes regarding the developed software, and the proper manual documentation- Communication and dissemination activities, and knowledge transfer actions- Writing of Scientific Papers to be submitted and published in reference scientific journals- Proactive activities regarding Ethics, Data Protection, Security, and Inclusive and Open ScienceThe candidate scientific profile should include:- PhD degree in the position scientific domain and demonstrate a strong research record in the field of Artificial Intelligence (AI) methods with applicability to PES- Relevant scientific work in at least two of the following areas: Electrical Engineering, Informatics Engineering, PES, Energy Forecasting, ML, Explainable AI- Extensive experience in preparing proposals and participating in scientific research and development projects with external funding, with emphasis on international project- Participation and coordination of teams, work packages, and tasks in scientific projects with external funding, with emphasis on international projects- Have authored a minimum of 6 papers published in journals indexed in the Science Citation Index Expanded (SCI), in the last 5 years prior to the submission of the application, in the activities field to be developed.- Scientific dissemination and knowledge transfer actions, including participation in events with oral presentation and demonstration of scientific activities results, and students’ supervision- Very good oral and written communication skills.