Data Analytics for Renewable Energy Integration 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers

Locating Faults in Photovoltaic Systems Data.- Forecasting of Smart Meter Time Series Based on Neural Cybersecurity for Smart Cities: A Brief Review.- Machine Learning Prediction of Photovoltaic Energy from Satellite Sources.- Approximate Probabilistic Power Flow.- Dealing with Uncertainty: An Empirical Study on the Relevance of Renewable Energy Forecasting Methods.- Measuring Stakeholders’ Perceptions of Cybersecurity for Renewable Energy Systems.- Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests.- Evolutionary Multi-Objective Ensembles for Wind Power Prediction.- A Semi-Automatic Approach for Tech Mining and Interactive Taxonomy Visualization.- Decomposition of Aggregate Electricity Demand into the Seasonal-Thermal Components for Demand-Side Management Applications in "Smart Grids".