Machine Learning Platform for Profiling and Forecasting at Microgrid Level

The shift towards distributed generation and microgrids has renewed the interest in forecasting algorithms and methods, which need to take into account the advances in information, metering and control technologies in order to address the challenges of forecasting problems. Technologies such as mach...

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Bibliographic Details
Main Authors: Mele Enea, Elias Charalambos, Ktena Aphrodite
Format: Article
Language:English
Published: Riga Technical University Press 2019-09-01
Series:Electrical, Control and Communication Engineering
Subjects:
Online Access:https://doi.org/10.2478/ecce-2019-0004
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