Description
Book Synopsis.- Policy, Metrics, and Infrastructure Performance.
.- Proper definitions of micro grid metrics are needed! - a generalizable framework.
.- Solar-Geothermal Power "HGS-ORC" System for Energy Co-generation: En ergy, Economic and Environmental analysis: Algerian case.
.- Towards the Integration of Data Space Technology in Hydrogen Research
Workflows.
.- Comparison of Outages Trends and Statistics in Nordic Countries Across
Distribution Networks and their Impacts.
.- Managing Risk in Distribution Systems with Solar Generation: A Case
Study Using the MATPOWER Optimal Scheduling Tool.
.- Smart Energy Management System With Individual Load Monitoring.
.- Smart Building Systems and Semantic Data Integration.
.- Towards a Taxonomy for Application of Machine Learning and Artificial Intelligence in Building and District Energy Management Systems.
.- A Dynamic Semantic Data Modeling Approach: Application to Flexible
HVAC Zones.
.- Leveraging Generative AI and semantic data for improved operation of a
real-life building.
.- Development of an LSTM-Based Model for High-Resolution Downsampling
and Reconstruction of HVAC Chiller Flow Data.
.- Data-Driven Optimal Air-Balancing Control for Multizone Ventilation Systems with Design-to-Operation Adaptation.
.- Prosumer Optimization and Energy Storage in Local Energy Communities.
.- Evaluating the Potential for Developing Local Energy Communities in Sweden: Case Studies at Jättesten and Chalmers Campus.
.- Data-driven Correlated Uncertainty Sets for PV Generation and Electricity
Demand.
.- Scheduling Heat Pumps for Balancing Thermal Storage and Grid Export.
.- Battery Energy Storage Integration with BIPV Systems: A Multi-Scenario
Economic Analysis and Optimization.
.- Grid-Oriented AI, Simulation, and Resilience.
.- A data-driven analysis of unscheduled flows in the European power system.
.- Green Hydrogen under Uncertainty: Evaluating Power-to-X Strategies Using
Agent-Based Simulation and Multi-Criteria Decision Framework.
.- Synthesizing Fault Localization Datasets.
.- Machine Learning-Based Cyberattack Detection in Power Data.
.- Optimization of Second-Life Battery Energy Storage System in Buildings
with Photovoltaic Panels: A Norwegian Case Study.
.- Non-Intrusive Load Monitoring and Data Competitions.
.- ADRENALIN: Energy Data Preparation and Validation for HVAC Load
Disaggregation in Commercial Buildings.
.- Advancing Non-Intrusive Load Monitoring: Insights from the Winning Algorithms in the ADRENALIN 2024 Load Disaggregation Competition.
.- Comparison of Three Algorithms for Low-Frequency Temperature Dependent Load Disaggregation in Buildings Without Submetering.
.- Lessons Learned from the ADRENALIN Load Disaggregation Challenge.
.- Business Model Innovation in Data Competitions: Insights from the 2024
ADRENALIN Load Disaggregation Challenge.
