Description
Book Synopsis.- 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.
