Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

<p>Imitative learning for online planning in microgrids.- A novel central voltage-control strategy for smart LV distribution networks.- Quantifying energy demand in mountainous areas.- Performance analysis of data mining techniques for improving the accuracy of wind power forecast combination.- Evaluation of forecasting methods for very small-scale networks.- Classification cascades of overlapping feature ensembles for energy time series data.- Correlation analysis for determining the potential of home energy management systems in Germany.- Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline.- An OPTICS clustering-based anomalous data filtering algorithm for condition monitoring of power equipment.- Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project.</p>