KIT | KIT-Bibliothek | Impressum | Datenschutz

A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems

Sievers, Jonas 1; Blank, Thomas ORCID iD icon 1
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)


The energy transition and the resulting expansion of renewable energy resources increasingly pose a challenge to the energy system due to their volatile and intermittent nature. In this context, energy management systems are central as they coordinate energy flows and optimize them toward economic, technical, ecological, and social objectives. While numerous scientific publications study the infrastructure, optimization, and implementation of residential energy management systems, only little research exists on industrial energy management systems. However, results are not easily transferable due to differences in complexity, dependency, and load curves. Therefore, we present a systematic literature review on state-of-the-art research for residential and industrial energy management systems to identify trends, challenges, and future research directions. More specifically, we analyze the energy system infrastructure, discuss data-driven monitoring and analysis, and review the decision-making process considering different objectives, scheduling algorithms, and implementations. Thus, based on our insights, we provide numerous recommendations for future research in residential and industrial energy management systems.

Verlagsausgabe §
DOI: 10.5445/IR/1000156972
Veröffentlicht am 16.03.2023
DOI: 10.3390/en16041688
Zitationen: 2
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000156972
HGF-Programm 38.02.03 (POF IV, LK 01) Batteries in Application
Erschienen in Energies
Verlag MDPI
Band 16
Heft 4
Seiten Art.-Nr.: 1688
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 08.02.2023
Schlagwörter energy management; renewable energy; demand response; optimization; artificial intelligence; scheduling; systematic literature review
Nachgewiesen in Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page