Buch, Englisch, 480 Seiten, Format (B × H): 155 mm x 235 mm
Second Nordic Energy Informatics Conference, EIA Nordic 2026, Reykjavik, Iceland, September 2–4, 2026, Revised Selected Papers, Part I
Buch, Englisch, 480 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-44352-6
Verlag: Springer
The two volume set LNCS 16931 + 16932 constitutes the proceedings of the Second Nordic Energy Informatics Academy Conference, Nordic EIA 2026, which took place in Reykjavik, Iceland, during September 2026.
The 43 full papers and 14 short papers presented in the proceedings were carefully reviewed and selected from 106 submissions. They were organised in the following topical sections:
Part I : Reinforcement Learning and Real-Time Optimization for Grid Control; Explainable, Agentic and LLM-Based AI for Energy Systems; Optimization of Microgrids, Energy Communities and Market Participation; Smart Metering Analytics and Load Disaggregation; District Heating Digitalization: Simulation, Monitoring and Fault Detection.
Part II : Modeling and AI for Renewable Generation, Conversion and Harvesting; Building Energy Informatics, Digital Twins and Operational Analytics; Data-Driven Electric Mobility and Charging Infrastructure; Sustainable AI, Data-Driven Methods and Energy Informatics Frameworks; Forecasting and Predictive Analytics for Energy Demand and Prices.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
Weitere Infos & Material
.- Reinforcement Learning & Real-Time Optimization for Grid Control.
. - On the Impact of Action-Space Dimensionality in Interconnection Power Flow Control with Off-Policy DRL.
.- Beyond Reward Shaping: A Unified, Architecture-Agnostic Evaluation Concept for Comparison of Energy-Grid Agents.
.- Operational Decision Map for Grid Operators: Orchestration of Grid and User Assets Through Scenario Based Multi-objective Optimization.
.- Resilient Online Feedback Optimization for Distribution Grids Under Unobserved Topological Faults.
.- Explainable, Agentic & LLM-Based AI for Energy Systems.
.- Agentic AI for Cyber-Resilient Energy Systems: Autonomous Detection and Mitigation of Attacks on Energy Data Infrastructure.
.- Human-Centered Explainable AI for Prosumer Flexibility Markets: A Conceptual Design Framework from the SURF Project.
.- Explaining Model Predictive Control in Residential Energy Management Systems Using AI-Agents.
.- Toward Agentic Building Management: Capabilities, Requirements, and the Path Forward.
.- An Agent-Driven Browser Platform for Iterative Energy System Simulation Development.
.- Automating Brick Schema Ontology Mapping for Heterogeneous BMS: A Two-Stage RAG LLM Pipeline.
.- Optimization of Microgrids, Energy Communities & Market Participation.
.- Techno-Economic Evaluation of a PV-Battery Microgrid for Retreat Houses in Iceland.
.- A Digital Twin-Based Method for Evaluating Local Collective Tariffs in Distribution-Level Energy Systems.
.- A User-Configurable Online Optimization Architecture for Multi-Objective Energy Hub Management.
.- Global Optimization of Collective Self-Consumption: A Methodology for Modelling Participants' Preferences.
.- Hybrid Forecasting-Aided Regret-Aware Bidding for Battery in Nordic Electricity Markets.
.- Fair Energy Management in Residential Virtual Power Plants: Prosumer Selection and Group Formation.
.- Smart Metering Analytics & Load Disaggregation.
.- Label-Free Method to Decompose District Heating Smart Meter Data at Scale.
.- Towards Reliable SHAP Explanations for NILM: Quantifying Information Loss under Different Baselines.
.- Data-driven building selection for demand-side management in district heating networks: a case study from Denmark.
.- Clustering Large-Scale Residential Binary Occupancy Time Series Data.
.- What Smart Heat Meters Reveal About Energy Performance Certificates: A Heat-Balance Decomposition Approach.
.- Federated Anomaly Detection for Smart Meter Analytics: An Empirical Study.
.- District Heating Digitalization: Simulation, Monitoring & Fault Detection.
. - Bridging University Education and Sector Needs in District Heating and Cooling Digitalisation: Results from a European Survey.
.- Passive Thermal Reuse and Renewable Ground-Source Storage in a Near Ambient District Heating and Cooling Network for Mediterranean Residential Buildings.
.- Operational Insights from 1000 Swedish District Heating Substations with Secondary Side Data.
.- An Integrated Workflow for GIS-Based Modeling and Co-Simulation of District Heating Networks.
.- Multi-Objective Optimal Sizing of Distributed Thermal Energy Storage in a District Heating Network.
.- Multi-Resolution Hierarchical Spatio-Temporal Graph Learning for District Heating Anomaly Detection and Localization.
