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

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Woon, Wei Lee. (Editor), Aung, Zeyar. (Editor), Kramer, Oliver. (Editor), Madnick, Stuart. (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:	1st ed. 2017.
Series:	Lecture Notes in Artificial Intelligence ; 10097
Subjects:	Artificial intelligence. Data mining. Renewable energy resources. Computer science-Mathematics. Energy policy. Energy and state. Artificial Intelligence. Data Mining and Knowledge Discovery. Renewable and Green Energy. Mathematics of Computing. Energy Policy, Economics and Management.

Table of Contents:

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".

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