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

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.

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• Inteligência artificial
• Tecnologia das fontes de energia renovável e alternativa

artificial intelligence;renewable energy;data analytics;data mining;demand response;forecasting;learning algorithms;machine learning;neural network;signal processing;smart grid;solar energy;wind energy