{"product_id":"9783032030979","title":"Energy Informatics : First Nordic Conference, Nordic EIA 2025, Stockholm, Sweden, August 20-22, 2025, Proceedings, Part II (Lecture Notes in Computer Science)","description":"\u003cp\u003eThis book constitutes the proceedings of the First Nordic Energy Informatics Academy Conference, Nordic EIA 2025, which took place in Stockholm, Sweden, in August 2025.\u003c\/p\u003e\u003cp\u003eThe 43 full papers and 8 short papers accepted were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: \u003c\/p\u003e\u003cp\u003ePart I: \nEnergy 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; \u003c\/p\u003e\u003cp\u003ePart II: \nPolicy, 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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Policy, Metrics, and Infrastructure Performance.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Proper definitions of micro grid metrics are needed! - a generalizable framework.\u003c\/p\u003e\u003cp\u003e.- Solar-Geothermal Power \"HGS-ORC\" System for Energy Co-generation: En ergy, Economic and Environmental analysis: Algerian case.\u003c\/p\u003e\u003cp\u003e.- Towards the Integration of Data Space Technology in Hydrogen Research\nWorkflows.\u003c\/p\u003e\u003cp\u003e.- Comparison of Outages Trends and Statistics in Nordic Countries Across\nDistribution Networks and their Impacts.\u003c\/p\u003e\u003cp\u003e.- Managing Risk in Distribution Systems with Solar Generation: A Case\nStudy Using the MATPOWER Optimal Scheduling Tool.\u003c\/p\u003e\u003cp\u003e.- Smart Energy Management System With Individual Load Monitoring.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Smart Building Systems and Semantic Data Integration.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Towards a Taxonomy for Application of Machine Learning and Artificial Intelligence in Building and District Energy Management Systems.\u003c\/p\u003e\u003cp\u003e.- A Dynamic Semantic Data Modeling Approach: Application to Flexible\nHVAC Zones.\u003c\/p\u003e\u003cp\u003e.- Leveraging Generative AI and semantic data for improved operation of a\nreal-life building.\u003c\/p\u003e\u003cp\u003e.- Development of an LSTM-Based Model for High-Resolution Downsampling\nand Reconstruction of HVAC Chiller Flow Data.\u003c\/p\u003e\u003cp\u003e.- Data-Driven Optimal Air-Balancing Control for Multizone Ventilation Systems with Design-to-Operation Adaptation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Prosumer Optimization and Energy Storage in Local Energy Communities.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Evaluating the Potential for Developing Local Energy Communities in Sweden: Case Studies at Jättesten and Chalmers Campus.\u003c\/p\u003e\u003cp\u003e.- Data-driven Correlated Uncertainty Sets for PV Generation and Electricity\nDemand.\u003c\/p\u003e\u003cp\u003e.- Scheduling Heat Pumps for Balancing Thermal Storage and Grid Export.\u003c\/p\u003e\u003cp\u003e.- Battery Energy Storage Integration with BIPV Systems: A Multi-Scenario\nEconomic Analysis and Optimization.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Grid-Oriented AI, Simulation, and Resilience.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A data-driven analysis of unscheduled flows in the European power system.\u003c\/p\u003e\u003cp\u003e.- Green Hydrogen under Uncertainty: Evaluating Power-to-X Strategies Using\nAgent-Based Simulation and Multi-Criteria Decision Framework.\u003c\/p\u003e\u003cp\u003e.- Synthesizing Fault Localization Datasets.\u003c\/p\u003e\u003cp\u003e.- Machine Learning-Based Cyberattack Detection in Power Data.\u003c\/p\u003e\u003cp\u003e.- Optimization of Second-Life Battery Energy Storage System in Buildings\nwith Photovoltaic Panels: A Norwegian Case Study.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Non-Intrusive Load Monitoring and Data Competitions.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- ADRENALIN: Energy Data Preparation and Validation for HVAC Load\nDisaggregation in Commercial Buildings.\u003c\/p\u003e\u003cp\u003e.-  Advancing Non-Intrusive Load Monitoring: Insights from the Winning Algorithms in the ADRENALIN 2024 Load Disaggregation Competition.\u003c\/p\u003e\u003cp\u003e.- Comparison of Three Algorithms for Low-Frequency Temperature Dependent Load Disaggregation in Buildings Without Submetering.\u003c\/p\u003e\u003cp\u003e.- Lessons Learned from the ADRENALIN Load Disaggregation Challenge.\u003c\/p\u003e\u003cp\u003e.- Business Model Innovation in Data Competitions: Insights from the 2024\nADRENALIN Load Disaggregation Challenge.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49895653441784,"sku":"00000_00000_00000_00000","price":156.65,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/8208\/6904\/files\/9783032030979-1.jpg?v=1783773119","url":"https:\/\/kinokuniya.com.au\/products\/9783032030979","provider":"Books Kinokuniya Australia","version":"1.0","type":"link"}