Review: Home energy management system in a Smart Grid scheme to improve reliability of power systems

Bs, Hartono; Mursid, Sri Paryanto; Prajogo, Sapto

doi:10.1088/1755-1315/105/1/012081

Cited by 22 publications

(12 citation statements)

References 18 publications

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“…Hartono et al review the development of home energy management systems (HEMS) and the role of HEMS in the success of DSM programs in the smart grid and show that the contribution of HEMS to the smart grid system can improve power losses and voltage profile. 8 Rotger-Griful et al offer a comprehensive analysis of a novel building energy management system (BEMS) to support implementation of residential DR. 9 The authors deploy a prototype of the system in an embedded computer and validate it via tests. Recently we find fog/edge computing-based EMS designs where authors claim that these systems provide benefits of local data processing, cache data management, local resource pooling, load balancing, and delay reduction.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Internet of things and cloud computing‐based energy management system for demand side management in smart grid

Hashmi¹,

2020

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

Hashmi¹,

2020

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Section: Introductionmentioning

confidence: 99%

“…Smart Grid applications and energy management are interesting topics in the research field [1]- [3]. A particular attention has been focused on Home Energy Management (HEMS) [3] and on energy management by means of simulators [4]. As simulator useful for the study and the design of energy system some authors have applied the open sources Energy 2D [5]- [7] and Energy 3D tools [8]- [12].…”

Section: Introductionmentioning

confidence: 99%

Overview and Application of Enabling Technologies Oriented on Energy Routing Monitoring, on Network Installation and on Predictive Maintenance

Massaro¹,

Galiano²,

Meuli³

et al. 2018

IJAIA

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Energy routers are recent topics of interest for scientific community working on alternative energy. Enabling technologies supporting installation and monitoring energy efficiency in building are discussed in this paper, by focusing the attention on innovative aspects and on approaches to predict risks and failures conditions of energy router devices. Infrared (IR) Thermography and Augmented Reality (AR) are indicated in this work as potential technologies for the installation testing and tools for predictive maintenance of energy networks, while thermal simulation, image post-processing and data mining improve the analysis of the prediction process. Image post-processing has been applied on thermal images and for WiFi AR. Concerning data mining we applied k-Means and Artificial Neural Network-ANNobtaining outputs based on measured data. The paper proposes some tools procedure and methods supporting the Building Information Modeling-BIM-in smart grid applications. Finally we provide some ISO standards matching with the enabling technologies by completing the overview of scenario .

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“…Reference [12] introduces about the SG and it's associated socioeconomic, environmental, technical and other non-tangible benefits to the society. The implementation of home energy management system and it's relation with the SG technology, and it's role improve the reliability of power systems is described in [13]. The challenges of system operators and energy planners, i.e., technical, economic, policy, and regulatory are addressed in [14].…”

Section: Introductionmentioning

confidence: 99%

Control and communication of renewable energy based smart grid: an overview

Reddy

2018

IJET

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Smart Grid (SG) involves complex controls and communications. These controls include both the local as well as global controls. SG in-volves a two-way communication system at each stage and that is one of the advantages over the conventional utility grid. However, due to this two-way communications, the issues such as complexity, data gathering and management, etc, are introduced into the SG system. Therefore, this new grid requires a more complex and control operation. The objective of this paper is to evaluate various control systems, communication technologies, and real time measurement tools that are involved in the SG. This paper also performs the cost benefit analysis (CBA) of the control and communication schemes involved in the SG. The paper evaluates the latest tools for control and communications that are available, and it also evaluates the issues and challenges relative to it.

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Review: Home energy management system in a Smart Grid scheme to improve reliability of power systems

Cited by 22 publications

References 18 publications

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

Overview and Application of Enabling Technologies Oriented on Energy Routing Monitoring, on Network Installation and on Predictive Maintenance

Control and communication of renewable energy based smart grid: an overview

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