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Data Analytics for Renewable Energy Integration

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Cover of 'Data Analytics for Renewable Energy Integration'

Table of Contents

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    Book Overview
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    Chapter 1 Imitative Learning for Online Planning in Microgrids
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    Chapter 2 A Novel Central Voltage-Control Strategy for Smart LV Distribution Networks
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    Chapter 3 Quantifying Energy Demand in Mountainous Areas
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    Chapter 4 Performance Analysis of Data Mining Techniques for Improving the Accuracy of Wind Power Forecast Combination
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    Chapter 5 Evaluation of Forecasting Methods for Very Small-Scale Networks
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    Chapter 6 Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data
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    Chapter 7 Correlation Analysis for Determining the Potential of Home Energy Management Systems in Germany
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    Chapter 8 Predicting Hourly Energy Consumption. Can Regression Modeling Improve on an Autoregressive Baseline?
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    Chapter 9 An OPTICS Clustering-Based Anomalous Data Filtering Algorithm for Condition Monitoring of Power Equipment
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    Chapter 10 Argument Visualization and Narrative Approaches for Collaborative Spatial Decision Making and Knowledge Construction: A Case Study for an Offshore Wind Farm Project
Attention for Chapter 1: Imitative Learning for Online Planning in Microgrids
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