A Survey on the Current State of Demand Response Implementations: Models and Approaches
Li, Chang
1; Langner, Felix
1; Förderer, Kevin
1; Matthes, Jörg 1; Hagenmeyer, Veit
1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
1; Langner, Felix
1; Förderer, Kevin
1; Matthes, Jörg 1; Hagenmeyer, Veit
11 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
Abstract (englisch):
Demand Response (DR) as an important part of the Smart Grids has gained
more and more research attention and implementation over the past years.
At the same time, a growing number of research literature is moving from
theory and simulation to practical experiments and applications. For this
reason, the present paper comprehensively reviews the current state of DR
implementations and focuses on its practical applications, especially on
different state-of-the-art modeling and optimization approaches. Different
implementations are categorized based on their areas of application in three
sectors: residential, commercial and industrial, respectively. Moreover, several
existing limitations and potential challenges are discussed and outlined
to describe existing research gaps. Finally, the review proposes some improvement
suggestions and important directions for future DR experiments
and practical applications.
more and more research attention and implementation over the past years.
At the same time, a growing number of research literature is moving from
theory and simulation to practical experiments and applications. For this
reason, the present paper comprehensively reviews the current state of DR
implementations and focuses on its practical applications, especially on
different state-of-the-art modeling and optimization approaches. Different
implementations are categorized based on their areas of application in three
sectors: residential, commercial and industrial, respectively. Moreover, several
existing limitations and potential challenges are discussed and outlined
to describe existing research gaps. Finally, the review proposes some improvement
suggestions and important directions for future DR experiments
and practical applications.
| Zugehörige Institution(en) am KIT | Institut für Automation und angewandte Informatik (IAI) |
| Publikationstyp | Zeitschriftenaufsatz |
| Publikationsjahr | 2025 |
| Sprache | Englisch |
| Identifikator | ISSN: 2770-5331 KITopen-ID: 1000183876 |
| HGF-Programm | 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids |
| Erschienen in | ACM SIGEnergy Energy Informatics Review |
| Verlag | Association for Computing Machinery (ACM) |
| Band | 5 |
| Heft | 1 |
| Seiten | 12–24 |
| Vorab online veröffentlicht am | 06.08.2025 |
| Schlagwörter | Demand Side Response, Optimization, Implementation |
| Nachgewiesen in | OpenAlex Dimensions |
| Globale Ziele für nachhaltige Entwicklung |