{"product_id":"energy-informatics-9783032030979","title":"Energy Informatics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\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\u003cbr\u003eWorkflows.\u003c\/p\u003e\u003cp\u003e.- Comparison of Outages Trends and Statistics in Nordic Countries Across\u003cbr\u003eDistribution Networks and their Impacts.\u003c\/p\u003e\u003cp\u003e.- Managing Risk in Distribution Systems with Solar Generation: A Case\u003cbr\u003eStudy 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\u003cbr\u003eHVAC Zones.\u003c\/p\u003e\u003cp\u003e.- Leveraging Generative AI and semantic data for improved operation of a\u003cbr\u003ereal-life building.\u003c\/p\u003e\u003cp\u003e.- Development of an LSTM-Based Model for High-Resolution Downsampling\u003cbr\u003eand 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\u003cbr\u003eDemand.\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\u003cbr\u003eEconomic 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\u003cbr\u003eAgent-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\u003cbr\u003ewith 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\u003cbr\u003eDisaggregation 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\u003cbr\u003eADRENALIN Load Disaggregation Challenge.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52195421520215,"sku":"9783032030979","price":58.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783032030979.jpg?v=1763647543","url":"https:\/\/bookcurl.com\/products\/energy-informatics-9783032030979","provider":"Book Curl","version":"1.0","type":"link"}