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Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

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Cover of 'Data Analytics for Renewable Energy Integration. Technologies, Systems and Society'

Table of Contents

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    Book Overview
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    Chapter 1 Mathematical Optimization of Design Parameters of Photovoltaic Module
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    Chapter 2 Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features
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    Chapter 3 Sampling Strategies for Representative Time Series in Load Flow Calculations
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    Chapter 4 Probabilistic Graphs for Sensor Data-Driven Modelling of Power Systems at Scale
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    Chapter 5 Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation
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    Chapter 6 Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access
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    Chapter 7 Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application
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    Chapter 8 Clustering River Basins Using Time-Series Data Mining on Hydroelectric Energy Generation
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    Chapter 9 Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities
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    Chapter 10 Intelligent Monitoring of Transformer Insulation Using Convolutional Neural Networks
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    Chapter 11 Nonintrusive Load Monitoring Based on Deep Learning
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    Chapter 12 Urban Climate Data Sensing, Warehousing, and Analysis: A Case Study in the City of Abu Dhabi, United Arab Emirates
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