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Machine Learning Applications for Intelligent Energy Management

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Machine Learning Applications for Intelligent Energy Management
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 An Explainable AI-Based Framework for Supporting Decisions in Energy Management
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    Chapter 2 The Big Data Value Chain for the Provision of AI-Enabled Energy Analytics Services
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    Chapter 3 Modular Big Data Applications for Energy Services in Buildings and Districts: Digital Twins, Technical Building Management Systems and Energy Savings Calculations
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    Chapter 4 Neural Network Based Approaches for Fault Diagnosis of Photovoltaic Systems
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    Chapter 5 Clustering of Building Stock
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    Chapter 6 Big Data Supported Analytics for Next Generation Energy Performance Certificates
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    Chapter 7 Synthetic Data on Buildings
Attention for Chapter 5: Clustering of Building Stock
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