Energy Informatics : First Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Stockholm, Sweden, August 20–22, 2025, Proceedings, Part I / edited by Ivo Martinac, Bo Nørregaard Jørgensen, Zheng Grace Ma, Rúnar Unnþórsson, Chiara Bordin.

Format:

Book

Author/Creator:

Martinac, Ivo.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 16095

Language:

English

Subjects (All):

Application software.

Artificial intelligence.

Data protection.

Computer and Information Systems Applications.

Artificial Intelligence.

Data and Information Security.

Local Subjects:

Computer and Information Systems Applications.

Artificial Intelligence.

Data and Information Security.

Physical Description:

1 online resource (544 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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. .

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Martinac, Ivo Energy Informatics

ISBN:

9783032031013

OCLC:

1549517916