Empowering the selection of demand response methods in smart homes: development of a decision support framework

Behrens, Dennis; Schoormann, Thorsten; Bräuer, Sebastian; Knackstedt, Ralf

doi:10.1186/s42162-018-0059-6

Cited by 2 publications

(4 citation statements)

References 75 publications

(89 reference statements)

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“…The work, however, does not consider any role of renewable and focuses only on energy management. Table 6 shows the uniqueness of the present work with respect to studies done by other authors [30,[41][42][43][44] in a comparative manner.…”

Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 86%

“…The formulation of DSM is not discussed, and the mathematical formulation of indicators is not presented through any simulation results. In another work, a decision support framework is presented for selection of the demand response method [44]. The proposed framework of [44] is based on cost minimization and load scheduling.…”

Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 99%

“…In another work, a decision support framework is presented for selection of the demand response method [44]. The proposed framework of [44] is based on cost minimization and load scheduling. The work, however, does not consider any role of renewable and focuses only on energy management.…”

Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 99%

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Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Singh

Jha

2019

Energies

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This paper proposes Object-Oriented Usability Indices (OOUI) for multi-objective Demand Side Management (DSM). These indices quantify the achievements of multi-objective DSM in a power network. DSM can be considered as a method adopted by utilities to shed some load during peak load hours. Usually, there are service contracts, and the curtailments or dimming of load are automatically done by service providers based on contract provisions. This paper formulates three indices, namely peak power shaving, renewable energy integration, and an overall usability index. The first two indices indicate the amount of peak load shaving and integration of renewable energy, while the third one combines the impact of both indices and quantifies the overall benefit achieved through DSM. The application of the proposed indices is presented through simulation performed in a grid-tied microgrid environment for a multi-objective DSM formulation. The adopted microgrid structure consists of three units of diesel generators and two renewable energy sources. Simulation has been done using MATLAB software. Teaching-Learning-Based Optimization (TLBO) is adopted as the optimization tool due to its simplicity and independency of algorithm-specific control parameters. Five different cases of renewable energy availability with results validate the efficiency of the proposed approach. The results indicate the usefulness in determining the suitable condition regarding DSM application.Energies 2019, 12, 370 2 of 25 problems is the main area of research for system operators. DSM has appeared as a potential solution for many of these problems.Any scheme that involves alteration in operation of a complex system should be reliable to a certain level. A reliability study of a power system with DSM is presented in [1]. Since a plan for load curtailment can only be prepared when load forecasting is reliable, stochastic optimization and Gray Wolf Optimization (GWO)-based load forecasting and subsequent DSM programs are presented in [2,3]. Load shifting is also an alternative method of performing DSM. In this aspect, a corrective load shifting program is found to be a better option to conventional preventive load shifting [4,5]. In another work, loads are categorized in rigid and flexible types, and DSM is performed keeping in mind the adaptability of the flexible loads [6]. A novel application of DSM to smoothing the peaks of load curve in a small demand area in the Sultanate of Oman is described in [7]. The key contribution was load profile prediction based upon which the DSM program was prepared. The DSM program developed here handles the issue of variable power generation from solar energy-based generation. In a work, the uncertainty due to wind power generation and its impact on the DSM scheme has been discussed [8]. The methodology discusses the fulfillment of two key objectives of DSM, i.e., minimization of emission and cost. Battery storage and diesel-based energy sources are also employed with solar or wind generators to improve the reliability ...

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Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 86%

Section: Discussion Of the Results With Comparative Analysismentioning

confidence: 99%

See 1 more Smart Citation

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Singh

Jha

2019

Energies

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“…• An Assistive VLC Technology Using EOG [73] • The proposed system is based upon the "controlling (management) system and healthcare system" to control the devices employed in smart homes and to help the seniors or disabled citizens. • Empowering the selection of demand response methods [76] • The "energy management system" framework assists users to identify the best demand response methods and reduce the costs.…”

Section: Discussionmentioning

confidence: 99%

Smart Built Environment Including Smart Home, Smart Building and Smart City: Definitions and Applied Technologies

Karimi¹,

Farahzadi²,

Sepasgozar³

et al. 2021

Advances and Technologies in Building Construction and Structural Analysis

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Technology, particularly over the past decades, has affected the cities and their components, such as building sectors. Consequently, smart building that has currently utilized various technologies which is incorporated into buildings is the core of the present chapter. It provides a comprehensive overview on smart cities, smart buildings and smart home to address what systems and technologies have been incorporated so far. The aim is to review the smart concepts in built environment with the main focus on smart cities, smart buildings, and smart homes. State-of-the-art and current practices in smart buildings were also reviewed to enlighten a set of directions for future studies. The Chapter is primarily focuses on 51 articles in smart buildings/homes, as per collected from various datasets. It represents a summary of systems utilized and incorporared into smart buildings and homes over the past decade (2010–2020). Additional to different features of smart buildings and homes, is the discussion around various fields and system performances currently utilized in smart buildings/homes. Limitations and future trends and directions is also discussed. In total, such building/home systems were categorized into 6 groups, including: security systems, healthcare systems, energy management systems, building/home management systems, automation systems, and activity/movement recognition systems. Furthermore, there are a number of surveys which investigated the user’s acceptance and adoption of the new smart systems in homes and buildings, as presented and summarized thereafter in Tables. The present Chapter is a contribution to a better understanding of the functions and performances of such buildings/homes for further implementation and enhancement so that varying demands of smart citizens are fulfilled and eventually contribute to the development of smart cities.

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Empowering the selection of demand response methods in smart homes: development of a decision support framework

Cited by 2 publications

References 75 publications

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization

Smart Built Environment Including Smart Home, Smart Building and Smart City: Definitions and Applied Technologies

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