Machine Learning for Identifying Demand Patterns of Home Energy Management Systems with Dynamic Electricity Pricing

Machine Learning for Identifying Demand Patterns of Home Energy Management Systems with Dynamic Electricity Pricing

Energy management plays a crucial role in providing necessary system flexibility to deal with the ongoing integration of volatile and intermittent energy sources. Demand Response (DR) programs enhance demand flexibility by communicating energy market price volatility to the end-consumer. In such env...

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Bibliographic Details
Main Authors: Derck Koolen, Navid Sadat-Razavi, Wolfgang Ketter
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Applied Sciences
Subjects:
dynamic pricing
customer segmentation
recommendation systems
demand response
demand side management
home energy management system
machine learning
Online Access:https://www.mdpi.com/2076-3417/7/11/1160

Internet

https://www.mdpi.com/2076-3417/7/11/1160

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