Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy : 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, 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 ; 10691
Subjects:	Artificial intelligence. Computer communication systems. Data mining. Renewable energy resources. Energy policy. Energy and state. Artificial Intelligence. Computer Communication Networks. Data Mining and Knowledge Discovery. Renewable and Green Energy. Energy Policy, Economics and Management.

Table of Contents:

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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