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Energy Informatics

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Cover of 'Energy Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-agent Based Simulation for Investigating Electric Vehicle Adoption and Its Impacts on Electricity Distribution Grids and CO2 Emissions
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    Chapter 2 Brazilian Utilities’ Invoice Data Understanding: Extraction, Data Standardization and Consumption Overview from Partner Universities
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    Chapter 3 Distributed Energy Resources and EV Charging Stations Expansion Planning for Grid-Connected Microgrids
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    Chapter 4 Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption
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    Chapter 5 Deep Learning Models to Estimate and Predict the Solar Irradiation in Brazil
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    Chapter 6 Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building
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    Chapter 7 Solar Energy Forecasting: Case Study of the UNICAMP Gymnasium
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    Chapter 8 Gossen’s First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study
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    Chapter 9 Measurement of the Wood Stove Impact on the Electric Power Consumption of a Norwegian Detached House
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    Chapter 10 Market Abstraction of Energy Markets and Policies - Application in an Agent-Based Modeling Toolbox
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    Chapter 11 Distributed Resources Remuneration on a Medium Voltage Network with Uncertainty and Seasonal Impacts
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    Chapter 12 New Perspectives on Clustering for Demand Response
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    Chapter 13 Distribution Grid Monitoring Based on Widely Available Smart Plugs
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    Chapter 14 Analysis of Electrical Equipment at UNICAMP: Insights from the Inventory Database
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    Chapter 15 Power Consumption Analysis as a Detection Indicator for Cyberattacks on Smart Home Devices
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    Chapter 16 Management Strategies for an EP Device in an Energy Packet Grid
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    Chapter 17 Design of Digital Controllers for Grid- Connected Voltage Source Converter Operating as Voltage or Current Source
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    Chapter 18 Digital Twin-Based Fault Detection and Prioritisation in District Heating Systems: A Case Study in Denmark
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    Chapter 19 Virtual Sensor-Based Fault Detection and Diagnosis Framework for District Heating Systems: A Top-Down Approach for Quick Fault Localisation
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    Chapter 20 Digitalization of District Heating and Cooling Systems
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    Chapter 21 Field Implementation of a Predictive Control Strategy in District Heating Systems: A Tale of Two Demonstration Sites
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    Chapter 22 Assessment of Residential District Cooling System Based on Seasonal Consumption Data
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Title
Energy Informatics
Published by
Springer Nature Switzerland, February 2024
DOI 10.1007/978-3-031-48652-4
ISBNs
978-3-03-148651-7, 978-3-03-148652-4
Editors

Jørgensen, Bo Nørregaard, da Silva, Luiz Carlos Pereira, Ma, Zheng

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