This book constitutes the proceedings of the First Nordic Energy Informatics Academy Conference, Nordic EIA 2025, which took place in Stockholm, Sweden, in August 2025.
The 43 full papers and 8 short papers accepted were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows:
Part I:
Energy Forecasting and Intelligent Control Systems; District HEating, Thermal Systems, and Retrofit Strategies; Building Simulation, Urban Energy, and Environmental Sensing; Industrial Process Efficiency and Biomass Utlilzation; Energy Informatics for Electric Vehicles and Mobility Systems; Multi-Agent Systems and Local Market Coordination;
Part II: Policy, Metrics, and Infrastructure Performance; Smart Buliding Systems and Semantic Data Integration; Prosumer Optimization and Energy Storage in Local Energy Communities, Grid-Oriented AI, Simulation, and Resilience; Non-Intrusive Load Monitoring and Data Competitions.
.- Energy Forecasting and Intelligent Control Systems. .- A Multi-Stage Deep Learning Framework for Short-Term Electricity Load Forecasting. .- Solaris AI: Enhancing Solar Energy Forecasting with Generative AI and Deep Learning. .- A Tool for Synthesizing and Implementing Medium Voltage Load Profiles. .- Decentralized Reinforcement Learning for Adaptive Power Sharing in Hybrid DC Microgrids. .- District Heating, Thermal Systems, and Retrofit Strategies. .- Digitalization in District Heating: Comparative Insights from Denmark and Sweden on Adoption, Barriers, and Value Creation. .- Evaluating Retrofit Strategies and Decentralized Systems for the transition to Low-Temperature District Heating: A Simulation-Based Case Study in Borlänge, Sweden. .- Parametric study model for observing exergy balance through the series of subsystems in district heating. .- Demand-side Frequency Response based on District Heating System Integrated with Heat Pump. .- A parametric optimization approach for enviro-economic evaluation of en ergy renovation strategies - a case study on a congregation house in southern Sweden. .- Building Simulation, Urban Energy, and Environmental Sensing. Development of an Automated 3D Building Modeling Method and UrbanScale Analysis of Heating and Cooling Loads. .- Research on 3D Modeling for Thermal Environment Simulation Using Publicly Available Map Data. .- Rooftop Irregularity Segmentation in Aerial Imagery Using Deep Learning. .- Autonomous Air Quality Monitoring System with Photovoltaic Energy Harvesting: A Sustainable Approach for Public Policie. .- How clean is the air you breathe during urban walk? A case study of Central London. .- Industrial Process Efficiency and Biomass Utilization. .- Examining the role of Digital Technologies and Artificial Intelligence in Climate Resilience and Energy Adaptation within Energy-Intensive Industries. .- Energy Efficiency Optimization in Plastic Pyrolysis: A Data-Driven Modeling Study. .- Globally Optimal Scheduling for Industrial Energy Cost Reduction Under Dynamic Electricity Pricing. .- Energy Informatics for Electric Vehicles and Mobility Systems. .- The Irish Highway Network: A Novel Test Instance for the Charging Station Location Problem. .- Enhancing EVRP Benchmark Instances with Energy Estimates. .- Economic and Environmental Benefits of Centralized MILP Optimization of EV Fleet Charging. .- Electric Vehicle based virtual electricity network (EVEN) solution for performance enhancement in distribution network. .- Variational Quantum Eigensolver-Based CaaS Business Model for V2G. .- Multi-Agent Systems and Local Market Coordination. .- Towards ICT-Enabled Multi-Agent based Operations in Local Energy Communities: A Proof of Concept. .- A Peer-to-Peer Energy Management Model. .- Agent-based Flexibility Aggregation for a Distributed Redispatch. .- A Visualization Framework for Exploring Multi-Agent-Based Simulations: Case Study of an Electric Vehicle Home Charging Ecosystem.
