Scalable Clustering of Individual Electrical Curves for Profiling and Bottom-Up Forecasting

Scalable Clustering of Individual Electrical Curves for Profiling and Bottom-Up Forecasting

Smart grids require flexible data driven forecasting methods. We propose clustering tools for bottom-up short-term load forecasting. We focus on individual consumption data analysis which plays a major role for energy management and electricity load forecasting. The first section is dedicated to the...

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Bibliographic Details
Main Authors: Benjamin Auder, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Energies
Subjects:
clustering
forecasting
hierarchical time-series
individual electrical consumers
scalable
short term
smart meters
wavelets
Online Access:http://www.mdpi.com/1996-1073/11/7/1893

Internet

http://www.mdpi.com/1996-1073/11/7/1893

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