A multi-objective home energy management system based on internet of things and optimization algorithms

Wang, Xiuwang; Mao, Xinna; Khodaei, Hossein

doi:10.1016/j.jobe.2020.101603

Cited by 103 publications

(69 citation statements)

References 43 publications

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“…Telemedicine is a discipline that allows patients in underdeveloped areas to receive treatment from experts in key hospitals. In addition, telemedicine education and training can also improve the medical level of medical workers in primary hospitals [ 1 , 2 ]. Remote public health emergency management system and low latency IoT technology is the combination of a medical career development inevitable trend and can be a great solution to regional differences in medical level distribution imbalance problem, and using the Internet of things technology will remote public emergency management system of medical and low latency data become more colorful.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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“…The PB program aims to minimize the end-user electricity bill by re-scheduling controllable flexible sources optimally, considering a dynamic pricing tariff. Several studies have applied multi-objective functions HEMS for optimal scheduling considering electricity cost and end-user discomfort minimization [4][5][6][7][8][9][10][11][12]. For instance, [8] minimizes electricity cost and the power profile deviation at the point of common coupling, while the author in [9] proposes a cost-effective HEMS considering thermal and electricity comfort.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Home Energy Management System Considering Electricity Cost and Greenhouse Gas Emissions Minimization

Barja-Martinez

Rücker

Aragüés‐Peñalba

et al. 2021

IEEE Trans. on Ind. Applicat.

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This paper proposes a multi-objective hybrid energy management system that minimizes both the electricity expenses and the household greenhouse gas emissions released due to consumption, considering the entire life cycle of the generation assets used to provide energy. The global warming potential indicator is used to decide if it is more sustainable to purchase electricity from the grid or use the household's flexible generation sources like photovoltaic panels and the energy storage system. Results prove that it is possible to reduce greenhouse gas emissions without incurring expensive electricity bill costs thanks to the hybrid-based home energy management system approach. This method gives the end-users a more influential role in the climate change solution, allowing them to give more or less importance to the economic or environmental component, according to their preferences.

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“…These devices communicate via the Internet with a cloud-centered server serving as cloud computing, which is used for data science analytics to optimize electricity demands based on demand response (DR) prices. Most of the existing solutions in [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ] have featured the viewpoints of HEMSs. However, the authors of [ 6 , 7 , 8 , 9 , 11 , 13 , 18 ] implemented the HEMSs based on cloud computing.…”

Section: Introductionmentioning

confidence: 99%

“…The studies in [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ] have featured HEMSs. However, the HEMSs that were implemented in [ 6 , 7 , 8 , 9 , 11 , 13 , 18 ] are based on cloud computing for residential DSM. Additionally, in [ 10 ], proposing a new framework of HEMSs based on both centralized energy disaggregation and distributed appliance controls, no practical evaluation is demonstrated for the evaluation of the feasibility of the framework as a whole.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, in [ 10 ], proposing a new framework of HEMSs based on both centralized energy disaggregation and distributed appliance controls, no practical evaluation is demonstrated for the evaluation of the feasibility of the framework as a whole. Moreover, the HEMSs that were implemented in [ 7 , 8 , 9 ] monitor relevant electrical appliances in an intrusive way. NIALM approaches that monitor relevant electrical appliances in a non-intrusive fashion have been developed significantly in [ 18 , 25 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

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A Smart Home Energy Management System Using Two-Stage Non-Intrusive Appliance Load Monitoring over Fog-Cloud Analytics Based on Tridium’s Niagara Framework for Residential Demand-Side Management

Chen

Chang³

et al. 2021

Sensors

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Electricity is a vital resource for various human activities, supporting customers’ lifestyles in today’s modern technologically driven society. Effective demand-side management (DSM) can alleviate ever-increasing electricity demands that arise from customers in downstream sectors of a smart grid. Compared with the traditional means of energy management systems, non-intrusive appliance load monitoring (NIALM) monitors relevant electrical appliances in a non-intrusive manner. Fog (edge) computing addresses the need to capture, process and analyze data generated and gathered by Internet of Things (IoT) end devices, and is an advanced IoT paradigm for applications in which resources, such as computing capability, of a central data center acted as cloud computing are placed at the edge of the network. The literature leaves NIALM developed over fog-cloud computing and conducted as part of a home energy management system (HEMS). In this study, a Smart HEMS prototype based on Tridium’s Niagara Framework® has been established over fog (edge)-cloud computing, where NIALM as an IoT application in energy management has also been investigated in the framework. The SHEMS prototype established over fog-cloud computing in this study utilizes an artificial neural network-based NIALM approach to non-intrusively monitor relevant electrical appliances without an intrusive deployment of plug-load power meters (smart plugs), where a two-stage NIALM approach is completed. The core entity of the SHEMS prototype is based on a compact, cognitive, embedded IoT controller that connects IoT end devices, such as sensors and meters, and serves as a gateway in a smart house/smart building for residential DSM. As demonstrated and reported in this study, the established SHEMS prototype using the investigated two-stage NIALM approach is feasible and usable.

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A multi-objective home energy management system based on internet of things and optimization algorithms

Cited by 103 publications

References 43 publications

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

A Novel Hybrid Home Energy Management System Considering Electricity Cost and Greenhouse Gas Emissions Minimization

A Smart Home Energy Management System Using Two-Stage Non-Intrusive Appliance Load Monitoring over Fog-Cloud Analytics Based on Tridium’s Niagara Framework for Residential Demand-Side Management

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