{"product_id":"energy-informatics-9783032031006","title":"Energy Informatics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Energy Forecasting and Intelligent Control Systems.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A Multi-Stage Deep Learning Framework for Short-Term Electricity Load\u003cbr\u003eForecasting.\u003c\/p\u003e\u003cp\u003e.- Solaris AI: Enhancing Solar Energy Forecasting with Generative AI and\u003cbr\u003eDeep Learning.\u003c\/p\u003e\u003cp\u003e.- A Tool for Synthesizing and Implementing Medium Voltage Load Profiles.\u003c\/p\u003e\u003cp\u003e.- Decentralized Reinforcement Learning for Adaptive Power Sharing in Hybrid\u003cbr\u003eDC Microgrids.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- District Heating, Thermal Systems, and Retrofit Strategies.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Digitalization in District Heating: Comparative Insights from Denmark and\u003cbr\u003eSweden on Adoption, Barriers, and Value Creation.\u003c\/p\u003e\u003cp\u003e.- Evaluating Retrofit Strategies and Decentralized Systems for the transition\u003cbr\u003eto Low-Temperature District Heating: A Simulation-Based Case Study in\u003cbr\u003eBorlänge, Sweden.\u003c\/p\u003e\u003cp\u003e.- Parametric study model for observing exergy balance through the series of\u003cbr\u003esubsystems in district heating.\u003c\/p\u003e\u003cp\u003e.- Demand-side Frequency Response based on District Heating System Integrated with Heat Pump.\u003c\/p\u003e\u003cp\u003e.- A parametric optimization approach for enviro-economic evaluation of en ergy renovation strategies - a case study on a congregation house in southern Sweden.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Building Simulation, Urban Energy, and Environmental Sensing.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDevelopment of an Automated 3D Building Modeling Method and UrbanScale Analysis of Heating and Cooling Loads.\u003c\/p\u003e\u003cp\u003e.- Research on 3D Modeling for Thermal Environment Simulation Using Publicly Available Map Data.\u003c\/p\u003e\u003cp\u003e.- Rooftop Irregularity Segmentation in Aerial Imagery Using Deep Learning.\u003c\/p\u003e\u003cp\u003e.- Autonomous Air Quality Monitoring System with Photovoltaic Energy Harvesting: A Sustainable Approach for Public Policie.\u003c\/p\u003e\u003cp\u003e.- How clean is the air you breathe during urban walk? A case study of Central\u003cbr\u003eLondon.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Industrial Process Efficiency and Biomass Utilization.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Examining the role of Digital Technologies and Artificial Intelligence in Climate  Resilience and Energy Adaptation within Energy-Intensive Industries.\u003c\/p\u003e\u003cp\u003e.- Energy Efficiency Optimization in Plastic Pyrolysis: A Data-Driven Modeling Study.\u003c\/p\u003e\u003cp\u003e.- Globally Optimal Scheduling for Industrial Energy Cost Reduction Under\u003cbr\u003eDynamic Electricity Pricing.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Energy Informatics for Electric Vehicles and Mobility Systems.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- The Irish Highway Network: A Novel Test Instance for the Charging Station Location Problem.\u003c\/p\u003e\u003cp\u003e.- Enhancing EVRP Benchmark Instances with Energy Estimates.\u003c\/p\u003e\u003cp\u003e.- Economic and Environmental Benefits of Centralized MILP Optimization of\u003cbr\u003eEV Fleet Charging.\u003c\/p\u003e\u003cp\u003e.- Electric Vehicle based virtual electricity network (EVEN) solution for performance enhancement in distribution network.\u003c\/p\u003e\u003cp\u003e.- Variational Quantum Eigensolver-Based CaaS Business Model for V2G.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Multi-Agent Systems and Local Market Coordination.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Towards ICT-Enabled Multi-Agent based Operations in Local Energy Communities: A Proof of Concept.\u003c\/p\u003e\u003cp\u003e.- A Peer-to-Peer Energy Management Model.\u003c\/p\u003e\u003cp\u003e.- Agent-based Flexibility Aggregation for a Distributed Redispatch.\u003c\/p\u003e\u003cp\u003e.- A Visualization Framework for Exploring Multi-Agent-Based Simulations:\u003cbr\u003eCase Study of an Electric Vehicle Home Charging Ecosystem.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195516674391,"sku":"9783032031006","price":116.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/energy-informatics-9783032031006","provider":"Book Curl","version":"1.0","type":"link"}