LAPSE:2023.10381
Published Article

LAPSE:2023.10381
A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems
February 27, 2023
Abstract
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.
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.
Record ID
Keywords
Artificial Intelligence, demand response, energy management, Optimization, Renewable and Sustainable Energy, Scheduling, systematic literature review
Subject
Suggested Citation
Sievers J, Blank T. A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems. (2023). LAPSE:2023.10381
Author Affiliations
Sievers J: Institute for Data Processing and Electronics (IPE), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany [ORCID]
Blank T: Institute for Data Processing and Electronics (IPE), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany [ORCID]
Blank T: Institute for Data Processing and Electronics (IPE), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany [ORCID]
Journal Name
Energies
Volume
16
Issue
4
First Page
1688
Year
2023
Publication Date
2023-02-08
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16041688, Publication Type: Review
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LAPSE:2023.10381
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https://doi.org/10.3390/en16041688
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Feb 27, 2023
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