Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
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Location: Room 2 Building C, 3rd Floor |
| Date: Tuesday, 27/May/2025 | |
| 2:00pm - 3:30pm |
SSE A2 Location: Room 2 The Impact of Evolving Energy Prices in Smart Charging: An Empirical Study with Data from Norway Norwegian School of Economics NHH, Norway Business model approaches based on suitable pricing for EV charging infrastructure providers in the context of energy communities 1: AIT Austrian Institute of Technology GmbH, Austria; 2: E-Mobilitätszentrum 4u GmbH Evaluating and Processing the Data from a Charge Point Management System for the Development of Standard Profiles of Different Charge Point Operator Types 1: Hamburger Energienetze GmbH, Germany; 2: Hamburg University of Applied Sciences, Germany Economic and Environmental Optimization of EV Fleets Charging under MIBEL Day-ahead Spot Prices INESCTEC, Portugal Monte Carlo Simulation of Electric Vehicle Charging Schemes for an EV Aggregator Offering Ancillary Services Under Grid Limitations KTH Royal Institute of Technology, Sweden A Conceptual Approach for Causal-driven Demand Response Optimization in Electric Mobility 1: INESC TEC, Portugal; 2: Faculty of Engineering of the University of Porto, Portugal Open data analysis on electricity network constraints for e-mobility development LUT University, Finland |
| 4:00pm - 5:30pm |
SSE B2 Location: Room 2 Assessing the impact of net-load forecast quality improvement on balancing mechanism RTE, France Sensor Fault Impact on Federated Learning for Electricity Demand Forecasting Department of Architecture and Architectural Engineering, Yonsei University, Seoul, Republic of Korea Impacts of wind power forecast error in the Finnish electricity market in 2030 Aalto University, Finland Evaluating the Skill of Seasonal Wind Energy Forecasts in Germany 1: Fraunhofer IEE, Kassel, Germany; 2: Univesity of Kassel, Department of Sustainable Electrical Energy Systems, Kassel, Germany; 3: Deutscher Wetterdienst, Offenbach, Germany; 4: Vrije Universiteit Brussel, Acoustics & Vibration Research Group, Elsene, Belgium, Towards Probabilistic Forecasting of Renewable Energy Sources using a Hierarchical Framework Hitachi Energy Research Improving Long-Term Electricity Price Predictions: A Comparison of Pure GPR and Hybrid LP-GPR Models 1: Energy Department, Politecnico di Milano, Italy; 2: Department of Mathematics, MOX, Politecnico di Milano, Milan, Italy Spot Market Electricity Price Forecast via the Combination of Transformer and Ornstein-Uhlenbeck Process 1: School of Electrical and Power Engineering, Hohai University, Nanjing, 211100, China.; 2: School of Mathematics, University of Birmingham, Edgbaston Birmingham, B15 2TT, UK; 3: School of Engineering Mathematics and Technology, University of Bristol, Bristol, BS8 1TW, UK |
| Date: Wednesday, 28/May/2025 | |
| 2:00pm - 3:30pm |
SSE C2 Location: Room 2 Modeling thermal energy storage – the effect of self-discharge rates on dispatch 1: Fraunhofer Institute for Systems and Innovation Research ISI, Germany; 2: Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP), Karlsruhe, Germany Load Mismatch Reduction by Energy Storage Devices as a Demand Response Program 1: Faculty of Engineering, University of Porto (FEUP), Portugal; 2: Inst. Syst. Computer Engineering, Technology and Science (INESC TEC), Portugal; 3: C-MAST, University of Beira Interior, Portugal; 4: Research Center for Systems and Technologies (SYSTEC), Advanced Production and Intelligent Systems Associate Laboratory (ARISE), Portugal Charging Infrastructure Power Requirements for Flexibility Usage Hamburg University of Applied Sciences (HAW Hamburg), Germany Comparing Optimal Operation Policies: Underground Hydrogen Storage vs. Conventional Storage Across Multiple Demand Scenarios 1: Technische Universität Wien, Vienna, Austria; 2: The Norwegian University of Science and Technology (NTNU), Trondheim, Norway Electric Vehicle as a Mobile Energy Storage: Market Analysis and Grid Integration Challenges 1: Nottingham Trent University; 2: University of Salford, United Kingdom; 3: Central Queensland University Energy Storage for Renewable Energy 1: Lodz University of Technology, Poland; 2: Warsaw Institute for Economic and European Studies. Warsaw, Poland Degradation Conscious Dynamic EMS for a Hybrid Energy Storage System Deployed in a Cloud-Edge Based Platform 1: IKERLAN, Spain; 2: Mondragon Unibertsitatea, Electronic and Computer Science department, Loramendi Kalea, 4, 20500 Arrasate-Mondragon, Spain |
| 4:00pm - 5:30pm |
SSE D2 Location: Room 2 Lessons learnt from two crisis situations on the Finnish electricity market Aalto University, Finland Energy flexibility in buildings: future scenarios across diverse climate zones in Europe Norwegian University of Science and Technology, Norway The flexibility of electrical loads in the EU-27 residential building stock Technische Universität Wien, Austria Flexibility provision of an Industrial Behind-the- Meter Energy Storage System installation through an Edge-Cloud based Energy Management System 1: IKERLAN, Spain; 2: Mondragon Unibertsitatea, Electronic and Computer Science department, Loramendi Kalea, 4, 20500 Arrasate-Mondragon, Spain Electricity Consumption in Portuguese Households: Unveiling Key Determinants through Surveys and Smart Metering Data CENSE FCT-NOVA, Portugal Integrating household flexibility into lucal Electricity markets: a market based approach for grid stability and demand optimization HSLU Departement T&A, Switzerland A Demand-Responsive Multi-Energy System Framework Integrating Flexible Pricing for Improved Urban Energy Management 1: University of Stavanger, Norway; 2: University of Tabriz, East Azerbaijan Province, Tabriz، 29 Bahman Boulevard, Iran; 3: NORCE Norwegian Research Center AS, Professor Olav Hanssens vei 15, 4021 Stavanger, Norway |
| Date: Thursday, 29/May/2025 | |
| 2:00pm - 3:30pm |
SSE E2 Location: Room 2 Peer-to-Peer Energy Markets: A Simplified Approach for Renewable Communities Inspired by Uniform Price Auction GECAD, Polytechnic of Porto, Portugal Business Models for Energy Community with Vulnerable Consumers 1: INESC TEC, Portugal; 2: Faculdade de Engenharia da Universidade do Porto A Hierarchical Optimization Framework for Peer-to-Peer Energy Trading in Medium- and Low-Voltage Distribution Networks 1: Santiago de Chile University, Chile; 2: Universidad del País Vasco Solar for Tenants: Exploring Collective Self-Consumption in Multi-Family Housing Karlsruhe Institute of Technology, Germany Tariff Design and Pricing in Energy Communities 1: University Grenoble Alpes, France; 2: Lucerne University of Applied Sciences and Arts, Switzerland Social Acceptance of Renewable Energy Communities: A Quantitative Study on Motivations, Barriers, and Drivers Among Prosumers 1: Wroclaw Univeristy of Science and Technology, Poland; 2: SWPS University, HumanTech Center for Social and Technological Innovation, Warsaw, Poland Strategies for Fair Distribution of Collective Benefits in Renewable Energy Communities INESC TEC, Portugal |
| 4:00pm - 5:30pm |
SSE F2 Location: Room 2 Comprehensive Governance Models for Energy Data Spaces: A Path to Secure and Interoperable Data Sharing in Europe 1: R&D NESTER – Centro de Investigação em Energia REN – State Grid, S.A., Portugal; 2: EKL – Elektro Ljubljana, podjetje za distribucijo električne energije, d. d A Multistage Stochastic Optimization Framework for Long-Term District Heating Capacity Expansion 1: Technische Universität Wien; 2: Vrije Universiteit Brussel Closing the Loop: Integrating Material Needs of Energy Technologies into Energy System Models INATECH, University of Freiburg, Germany IMPACT OF WIND ENERGY ON THE PORTUGUESE LABOR MARKET 1: Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, Portugal; 2: Research Unit on Governance, Competitiveness and Public Policies, University of Aveiro, Portugal Model Predictive Control for Imbalance Compensation of Solar Power Generation in Local Area Energy Management System 1: The University of Tokyo, Japan; 2: KYOCERA Corporation Towards time series aggregation with exact error quantification for optimization of energy systems Graz University of Technology, Austria |
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