A Machine Learning Pipeline for Demand Response Capacity Scheduling

Demand response (DR) is an integral component of smart grid operations that offers the necessary flexibility to support its decarbonisation. In incentive-based DR programs, deviations from the scheduled DR capacity affect the grid’s energy balance and result in revenue losses for the DR participants...

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Bibliographic Details
Published in:Energies
Main Authors: Gautham Krishnadas, Aristides Kiprakis
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Subjects:
machine learning
data-driven
deployment
smart grid
demand response
flexibility
Online Access:https://www.mdpi.com/1996-1073/13/7/1848

Internet

https://www.mdpi.com/1996-1073/13/7/1848

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