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Erschienen in:
A Hybrid Approach to Implement Data Driven Optimization into Production Environments Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Developing a Multiple-Objective Demand Response Algorithm for the Residential Context

verfasst von : Dennis Behrens, Thorsten Schoormann, Ralf Knackstedt

Erschienen in: Business Information Systems

Verlag: Springer International Publishing

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Abstract

Energy grids are facing various challenges, such as new appliances and volatile generation. As grid reliability and cost benefits are endangered, managing appliances becomes increasingly important. Demand Response (DR) is one possibility to contribute to this task by shifting and managing electrical loads. DR can address multiple objectives. However, current research lacks of algorithms addressing these objectives sufficiently. Thus, we aim to develop a DR algorithm that considers multiple DR objectives. For evaluation, we implemented the algorithm and formulated demonstration cases for a simulation. The evaluated algorithm contributes for example to users and energy providers by realizing various benefits.

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Metadaten
Titel
Developing a Multiple-Objective Demand Response Algorithm for the Residential Context
verfasst von
Dennis Behrens
Thorsten Schoormann
Ralf Knackstedt
Copyright-Jahr
2018
Buch
Business Information Systems

Print ISBN: 978-3-319-93930-8

Electronic ISBN: 978-3-319-93931-5

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-93931-5_19

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