Methods of electrical appliances identification in systems monitoring electrical energy consumption

Łukaszewski, Robert; Liszewski, Krzysztof; Winiecki, W.

doi:10.1109/idaacs.2013.6662630

Cited by 14 publications

(6 citation statements)

References 5 publications

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“…Bayesian and Hidden Markov Model techniques are being used in a variety of smart metering applications such as load disaggregation [42], appliance identification [43] and supply demand analysis [44]. Future applications will result in a broader range of needs which will see more and more methods applied and tailored for smart metering to bring out greater benefits.…”

Section: B Tools For Smart Meteringmentioning

confidence: 98%

Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey

Alahakoon

2016

IEEE Trans. Ind. Inf.

466

170

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Smart meters have been deployed in many countries across the world since early 2000s. The smart meter as a key element for the smart grid is expected to provide economic, social and environmental benefits for multiple stakeholders. There has been much debate over the real values of smart meters. One of the key factors that will determine the success of smart meters is smart meter data analytics which deal with data acquisition, transmission, processing, and interpretation that bring benefits to all stakeholders. This paper presents a comprehensive survey of smart electricity meters and their utilization focusing on key aspects of metering process, the different stakeholder interests and technologies used to satisfy stakeholder interests. Furthermore the paper highlights the challenges as well as opportunities arising due to the advent of big data and the increasing popularity of the cloud environments.time pricing schemes, and demand-response for energy saving and efficient use of energy generated.The research and development in smart meters and their applications have been progressed rapidly in recent years and many methods and techniques have been developed. The technological scope relating to smart meters covers a diverse range of ICT technologies, such as electronics and communication, and there have already been several surveys done, e.g.[7] looks into the different applications of smart grids focusing on the communication needs and also on communication requirements of smart meters for integration into power grids.[8] is a comprehensive survey of communication technologies for smart meters which could be used to satisfy the identified needs.[9] introduces a novel smart meter communication technology, [10] examines the web and data service aspect of smart meter networks, and [11] proposes a framework for smart meter privacy. In this paper, we examine these developments from a holistic data analytic viewpoint. We will also outline potential future applications and challenges that lie ahead. As a foundation for our holistic approach the key components of electricity meter intelligence is shown as in Figure 1. The three key components capture the aspects of data, technology and stakeholders. These aspects and the role they play in smart meter intelligence is discussed in section 2.

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Section: B Tools For Smart Meteringmentioning

confidence: 98%

Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey

Alahakoon

2016

IEEE Trans. Ind. Inf.

466

170

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“…Other mathematical tools such as Bayesian and hidden Markov model techniques are being cast-off in a variety of smart-metering applications, such as load disaggregation (Ahmad and Baig, 2012), appliance identification (Chahine et al , 2011) and supply-demand analysis (Lukaszewski et al , 2013). In a broader range, numerous methods are applied and tailored for smart metering to bring out greater benefits and efficiency.…”

Section: Observations and Recommendationsmentioning

confidence: 99%

Data analytics criteria of IoT enabled smart energy meters (SEMs) in smart cities

Ahuja

Khosla

2019

IJESM

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Purpose This paper aims to focus on data analytic tools and integrated data analyzing approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Design/methodology/approach A few research strategies have been accounted for analyzing the raw data, yet at the same time, a considerable measure of work should be done in making these commercially reasonable. Data analytic tools and integrated data analyzing approaches are used on SEMs. Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Advantages of SEM’s are additionally discussed for inspiring consumers, utilities and their respective partners. Findings Consumers, utilities and researchers can also take benefit of the recommended framework by planning their routine activities and enjoying rewards offered by gamification approach. Through gamification, consumers’ commitment enhances, and it changes their less manageable conduct on an intentional premise. The practical implementation of such approaches showed the improved energy efficiency as a consequence.

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“…3). Sets of vectors, or labels of individual operating modes allow to describe the work cycle of the device in the form of a graph of transitions between states [14] (Fig. 5).…”

Section: Label Of Operation Modementioning

confidence: 99%

The method of identification operating states of multi-state electrical devices with complex modes of operation

Wójcik

Winiecki

2016

ELECTROTECHNICAL REVIEW

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This paper presents the method for detecting operating states of electrical appliances. Based on the sequence of transitions between the operating states the method allows to obtain information about the mode of operation of a particular device. The article describes the structure of the system applying the proposed method, discuss the stages of the system operation and presents the results. Streszczenie. Artykuł dotyczy opracowanej metody rozpoznawania stanów pracy odbiorników energii elektrycznej. Na podstawie sekwencji przejść między stanami metoda pozwala na uzyskanie informacji o programie pracy urządzenia. Przedstawiono strukturę systemu realizującego proponowaną metodę oraz opisano metodę działania jego części składowych, prezentując uzyskane wyniki. (Metoda rozpoznawania stanów pracy odbiorników energii elektrycznej o złożonych programach pracy).

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Methods of electrical appliances identification in systems monitoring electrical energy consumption

Cited by 14 publications

References 5 publications

Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey

Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey

Data analytics criteria of IoT enabled smart energy meters (SEMs) in smart cities

The method of identification operating states of multi-state electrical devices with complex modes of operation

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