Modeling for home electric energy management: A review

Escobar, Adriana Marcela Vega; Santamaria, Francisco; Rivas, Edwin

doi:10.1016/j.rser.2015.07.023

Cited by 67 publications

(32 citation statements)

References 76 publications

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“…Further reading for recent trends in DSM , DR programs and HEMS are suggested as [5][6][7]. In [5], the authors provided a compact survey in terms of HEMS.…”

Section: Related Workmentioning

confidence: 99%

Realistic Scheduling Mechanism for Smart Homes

et al. 2016

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Abstract:In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration and enhance appliance utility by classifying appliances with respective constraints and their time of use effectively. Algorithms are proposed regarding functioning of home appliances. A 24 hour time slot is divided into four logical sub-time slots, each composed of 360 min or 6 h. In these sub-time slots, only desired appliances (with respect to appliance classification) are scheduled to raise appliance utility, restricting power consumption by a dynamically modelled power usage limiter that does not only take the electricity consumer into account but also the electricity supplier. Once appliance, time and power usage limiter modelling is done, we use a nature-inspired heuristic algorithm, Binary Particle Swarm Optimization (BPSO), optimally to form schedules with given constraints representing each sub-time slot. These schedules tend to achieve an equilibrium amongst appliance utility and cost effectiveness. For validation of the proposed RSM, we provide a comparative analysis amongst unscheduled electrical load usage, scheduled directly by BPSO and RSM, reflecting user comfort, which is based upon cost effectiveness and appliance utility.

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“…Further reading for recent trends in DSM , DR programs and HEMS are suggested as [5][6][7]. In [5], the authors provided a compact survey in terms of HEMS.…”

Section: Related Workmentioning

confidence: 99%

Realistic Scheduling Mechanism for Smart Homes

et al. 2016

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“…The Flyport also offers four 10-bit analogue inputs. A 10-bit analogue to digital converter (ADC) can resolve 2 10 or 1024 divisions which is a relatively poor resolution. The Flyport has an SPI interface which can be used to interact with an external 24-bit ADC giving significantly better resolution.…”

Section: Logic: Openpicus Flyport Wi-fimentioning

confidence: 99%

“…Depuru et al [9] have discussed in detail various features and technologies that can be integrated with a smart meters with the emphasis on security issues required in smart meter communication networks. Vega et al [10] have reviewed the most relevant literature and summarised infrastructure, communication media -protocols and variables managed by a system. Their study also analysed a large range of energy management models associated hardware and software and emphasised the need to incorporate monitoring, control and supervision of home appliances as well as the need to incorporate communication protocols to ensure the reliability of real time information collection through modern sampling tools and advanced algorithms.…”

Section: Introductionmentioning

confidence: 99%

Development of a user-friendly, low-cost home energy monitoring and recording system

Fletcher

Malalasekera

2016

Energy

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This paper reports research undertaken to develop a user-friendly home energy monitoring system which is capable of collecting, processing and displaying detailed usage data. The system allows users to monitor power usage and switch their electronic appliances remotely, using any web enabled device, including computers, phones and tablets. The system aims to raise awareness of consumer energy use by gathering data about usage habits, and displaying this information to support consumers when selecting energy tariffs or new appliances.To achieve these aims, bespoke electrical hardware, or 'nodes', have been designed and built to monitor power usage, switch devices on and off, and communicate via a Wi-Fi connection, with bespoke software, the 'server'. The server hosts a webpage which allows users to see a real-time overview of how power is being used in the home as well as allowing scheduled tasks and triggered tasks (which respond to events) to be programmed. The system takes advantage of well standardised networking specifications, such as Wi-Fi and TCP, allowing access from within the home, or remotely through the internet. The server runs under Debian Linux on a Raspberry Pi computer and is written in Python, HTML and JavaScript. The server includes advanced functionality, such as device recognition which allows users to individually monitor several devices that share a single node. The openPicus Flyport is used to provide Wi-Fi connectivity and programmable logic control to nodes. The Flyport is programmed with code compiled from C. 1 IntroductionThe management of electrical energy supply to meet the growing demand without contributing more to the green-house gas problem is a major task. At consumer level various forms of smart meters have been introduced by electricity suppliers to inform customers of their energy usage profiles and these have enabled the suppliers to obtain useful demand profiles. However some smart meters do not provide a breakdown of which appliances contribute to the overall demand profile. This has been a problem and smart meters are already termed to be 'not so smart meters ' [24]. There is great interest in developing useful, secure, low-cost technologies to monitor and record domestic energy usage and allow users to have more control over their energy usage.Perhaps in the future such systems may even be able to automatically switch energy provider on their owners behalf, depending on which companies offer the cheapest, greenest energy. The technology could also be used to deliver targeted advertising to users supported by savings estimates based on the real usage data that the system collects.None of the existing 'smart meter' solutions offered by energy suppliers to private homes in the UK are able to control devices around the home. Input into the National Grid in the UK is almost entirely comprised of plants which are unable to quickly change their rate of supply, (for example, gas, coal, nuclear) or worse, have an unreliable rate of supply e.g.wind. Since mass produced el...

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“…Generally, current energy management is implemented on three scales: (1) the individual buildings/homes; (2) the district energy systems; and (3) the district as a whole (integrated buildings and district energy systems). [23], [131], [132], [133] (Smart) building energy and thermal comfort management [19], [87], [134], [135], [136], [137], [138], [139], [140], [141] Building energy management based on smart grid, demand response in buildings [142], [143], [144], [145] Data science for building energy management; knowledge-based energy management [32], [146], [147], [148], [149], [150], [151] BIM (Building Information Modelling) for energy management [113], [121]…”

Section: Energy Management At the District And Building Levelsmentioning

confidence: 99%

“…With the arrival of the smart grid era and the advent of advanced ICTs, smart home energy management systems (SHEMS) have been developed, usually combined with the application of demand response strategies. Liu et al [23], Zhou et al [132], Beaudin and Zareipour [133] and Vega et al [131] have conducted reviews of SHEMS, highlighting their major components, functionality modules, renewable energy sources and various technological approaches. The importance of SHEMS on the intelligent use of electricity and demand response is emphasized.…”

Section: Energy Management For Individual Homes/buildingsmentioning

confidence: 99%

Linked data for enhanced energy management at district and building levels : an indicator-based methodology

Li¹

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Performance indicator is a way to summarize pieces of performance information from available data and measure the progress towards achieving an organization's goals. Key performance indicator (KPI) Key performance indicator is an indicator that provides critical pieces of actionable information to ensure success and evaluates and tracks the key critical performance of an organization. Linked Data Linked data is a pattern of interrelated datasets using Semantic Web techniques, which extends the Web to share information in a way that can be readable by both humans and machines. Linked data enables data from different sources to be interlinked and to become more useful through semantic queries.

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Modeling for home electric energy management: A review

Cited by 67 publications

References 76 publications

Realistic Scheduling Mechanism for Smart Homes

Realistic Scheduling Mechanism for Smart Homes

Development of a user-friendly, low-cost home energy monitoring and recording system

Linked data for enhanced energy management at district and building levels : an indicator-based methodology

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