Relevant bibliographies by topics / Home Management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Home Management'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Home Management"

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T., Manikandan. "Home Groceries Management System Using IOT." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 2741–46. http://dx.doi.org/10.37200/ijpr/v24i5/pr201977.

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Halstead, Helen L. "Nursing Home Management." Journal of Gerontological Nursing 15, no. 11 (November 1, 1989): 43. http://dx.doi.org/10.3928/0098-9134-19891101-22.

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Lashkari, Chen, and Musilek. "Energy Management for Smart Homes—State of the Art." Applied Sciences 9, no. 17 (August 21, 2019): 3459. http://dx.doi.org/10.3390/app9173459.

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Smart home is a concept that aims to enhance the comfort of residents and facilitate household activities. The smart home is an application of ubiquitous computing which can provide the user with context-aware automated or assistive services in the form of ambient intelligence, remote control of home appliances, or automation. Smart homes attempt to integrate smartness into homes to guarantee the residents’ convenience, safety, and security, while conserving the energy. The capabilities of a smart home in the context of different applications, have been scrutinized for this investigation. Different proposed architectures, protocols, and infrastructures have been taken into consideration. As the data management process is a vital part of a smart home system, many procedures of data collection, storage, and analysis have been surveyed. Methods of data acquisition has also been discussed. Existing challenges, pros, and cons of proposed schemes along with future perspectives of smart homes are identified in this report, which is intended to promote future research directions.
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Choi, U.-Hou, Jia-Li Ma, Ran Guo, and Ming-Chui Dong. "Intelligent Knowledge Management System for Distributed e-Home Healthcare." International Journal of Bioscience, Biochemistry and Bioinformatics 4, no. 4 (2014): 270–74. http://dx.doi.org/10.7763/ijbbb.2014.v4.354.

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K A, Mothilaal, Mohan Raj M, Mahesh Kumar, Poonkodi P, and Sangeetha K. "Home Appliances Service Management." International Research Journal on Advanced Science Hub 3, Special Issue ICARD 3S (March 26, 2021): 153–57. http://dx.doi.org/10.47392/irjash.2021.084.

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Tatarnikova, T., and B. Sovetov. "Smart home security management." Journal of Physics: Conference Series 1864, no. 1 (May 1, 2021): 012120. http://dx.doi.org/10.1088/1742-6596/1864/1/012120.

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SHIOURA, M. "Management of Home Nutrition." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 60, no. 12 (December 1, 1990): 547–51. http://dx.doi.org/10.4286/ikakikaigaku.60.12_547.

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McEvilly, Adele. "Home management on diagnosis." Paediatric Nursing 3, no. 5 (June 1991): 16–18. http://dx.doi.org/10.7748/paed.3.5.16.s8.

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Hanson, Ralph, and Craig M. Mrilis. "Home management of asthma." Medical Journal of Australia 142, no. 7 (April 1985): 426. http://dx.doi.org/10.5694/j.1326-5377.1985.tb133176.x.

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LISHCHYNA, N., V. LISHCHYNA, А. YASHCHUK, and О. SIVAKOVSKA. "SMART HOME MANAGEMENT SYSTEM." Herald of Khmelnytskyi National University 301, no. 5 (October 2021): 109–13. http://dx.doi.org/10.31891/2307-5732-2021-301-5-109-113.

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The purpose of this work is to review the algorithms of the relationship between the terminal and the modules for the implementation of the system “Smart Home” on the Android operating system. And the development of its own system “Smart Home”. The system consists of a tablet with the Android operating system, which has its own developed program – the terminal, and various modules and sensors based on the microcontroller ESP8266-01. The main object in the development was to write universal, open and well-thought-out code, which allows you to implement any universal platform for a smart home, and at the same time wrote the minimum code for your modules. The use of a modular system in the terminal greatly simplifies the interaction with the system and significantly increases the speed of performing certain functions and adding functionality for a new module. This means that in the future it will be quite easy to add any new independent module. All elements of this system are controlled, both from the head device – the terminal, and the client (any smartphone where the special software will be installed). The use of more universal objects for embedded modules, the use of one main window for most of the implemented functionality, new functions for forming commands, the use of new libraries for any functionality in this project, such as sending broadcast messages, searching for devices on the network, internal methods for microcontroller management ware considered. The results of this work can be used for deployment systems with control of climatic parameters and energy consumption, in ordinary house, and in specialized rooms with more rigid requirements for the microclimate of the environment. In the future, it is planned to add a power consumption sensor to the system and improve sharing.
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Dissertations / Theses on the topic "Home Management"

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Demadema, Kwanele. "Smart Home Energy Management System." Thesis, Demadema, Kwanele (2018) Smart Home Energy Management System. Honours thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/44789/.

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The link between fossil generated electricity for home energy use and climate change means that the ever‐rising residential energy requirements contribute significantly to the greenhouse gas emissions and therefore household demand also has a negative impact on the environment. As a result, home energy management has gained significant attention over the years. The anticipated incentive to the home energy user is household energy cost reduction while the network operator gains from peak demand reduction. Effective Demand Response (DR) programs in the form of Smart Home Energy Management systems have the potential to fulfill both the consumer’s and network operator’s expectations. This project analyses the challenges of DR and the effects of incorporating local Renewable Energy (RE) generation to a domestic installation with the aim of turning the household into an energy neutral home whose net annual energy consumption is almost zero. Power demand and the consumption characteristics of households through common household appliances were investigated using smart meters and the associated load profiles. Some of Synergy’s Western Australian (WA) electricity retail tariffs were analysed and applied to the load profile downloads to verify the cost benefits of tariff shopping, standby mode elimination and load shifting. The Homer Pro micro grid analysis tool was used to investigate the possibility of turning a Perth household into an energy neutral home by attempting to match its possible loading with the most viable solar generation system. The results show that the Power Shift (PS1) tariff was the cheapest with a 1.44% cost reduction from the Home plan (A1) project base plan. The cost reduction analysis was performed by applying the House 1 June load profile to all the tariffs considered in this investigation. The research results show that it is possible to achieve an energy neutral home in WA although this would be accompanied by high costs and regulatory restrictions. This thesis project found that about 96% renewable fraction is achievable to typical WA households within reasonable technical, economic and regulatory considerations.
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Schaper, Miriam [Verfasser]. "Verantwortlichkeiten von Unternehmen : Reichweite und Grenzen / Miriam Schaper." Frankfurt am Main : Campus Verlag, 2017. http://www.campus.de/home/.

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Herr, Lea. "Home management system application development for inventory management /." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/lherr2007.pdf.

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Sikasote, Nataizya. "Energy management for the smart home." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27234.

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Utility providers are under constant pressure to meet the ever-increasing demand for energy with a finite production capacity. Due to this, utility providers need to ensure that the demand does not exceed the supply. The use of demand response programs has been used as a solution to better match the available supply to the demand experienced on the grid. While demand response programs may improve the relationship between the supply and the demand, increasing consumer participation can further improve the effectiveness of demand response programs. The level of consumer participation is highly dependent on the incentives offered and the convenience of participating in the demand response program. However, most of these programs require consumers to actively monitor the available services and take appropriate action on their appliances. Home energy management systems attempt to provide convenience to consumers as well as increase their participation in demand response programs. They do this by enabling autonomous control and remote control of appliances. In addition, a home gateway makes it possible for the consumer and utility provider to interact with devices in the home remotely. Current solutions host the home energy management software on a home gateway or on a dedicated device in the home. Furthermore, these systems make use of proprietary software and devices to monitor and control the home environment. However, proprietary systems are costly to implement and maintain due to their dependence on the developers and the varying needs of consumers. This dissertation proposes a home energy management system solution that makes use of a standardized distributed machine-to-machine (M2M) middleware framework to support heterogeneous devices, technologies and protocols. In addition, the proposed solution shifts the software logic of the home energy management system from the gateway to a private cloud. This allows the system to leverage the benefits of virtualization and cloud computing such as cost efficiency, faster deployment and easier maintenance of the system. The proposed solution was implemented using a European Telecommunications Standards Institute (ETSI) compliant distributed M2M middleware framework (i.e. OpenMTC) and an open-source private cloud platform (i.e. OpenStack). A prototype was developed and tested with demand response programs that included a control demand response (DR) service, a consumption monitoring service and a time-of-use (ToU) service. In addition, the prototype made use of various third party applications, protocols and devices to support the aforementioned demand response services and provide automated and remote control of home appliances. Finally, an evaluation of the proposed system was conducted and concluded that the number of home energy management systems subscribed to the defined services influenced the effectiveness of these services because of the additional processing that the utility provider is required to perform.
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Tom, Mary. "An initial technology roadmap for home automation : home and personal life management." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/35719/1/Mary_Tom_Thesis.pdf.

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Home Automation (HA) has emerged as a prominent ¯eld for researchers and in- vestors confronting the challenge of penetrating the average home user market with products and services emerging from technology based vision. In spite of many technology contri- butions, there is a latent demand for a®ordable and pragmatic assistive technologies for pro-active handling of complex lifestyle related problems faced by home users. This study has pioneered to develop an Initial Technology Roadmap for HA (ITRHA) that formulates a need based vision of 10-15 years, identifying market, product and technology investment opportunities, focusing on those aspects of HA contributing to e±cient management of home and personal life. The concept of Family Life Cycle is developed to understand the temporal needs of family. In order to formally describe a coherent set of family processes, their relationships, and interaction with external elements, a reference model named Fam- ily System is established that identi¯es External Entities, 7 major Family Processes, and 7 subsystems-Finance, Meals, Health, Education, Career, Housing, and Socialisation. Anal- ysis of these subsystems reveals Soft, Hard and Hybrid processes. Rectifying the lack of formal methods for eliciting future user requirements and reassessing evolving market needs, this study has developed a novel method called Requirement Elicitation of Future Users by Systems Scenario (REFUSS), integrating process modelling, and scenario technique within the framework of roadmapping. The REFUSS is used to systematically derive process au- tomation needs relating the process knowledge to future user characteristics identi¯ed from scenarios created to visualise di®erent futures with richly detailed information on lifestyle trends thus enabling learning about the future requirements. Revealing an addressable market size estimate of billions of dollars per annum this research has developed innovative ideas on software based products including Document Management Systems facilitating automated collection, easy retrieval of all documents, In- formation Management System automating information services and Ubiquitous Intelligent System empowering the highly mobile home users with ambient intelligence. Other product ideas include robotic devices of versatile Kitchen Hand and Cleaner Arm that can be time saving. Materialisation of these products require technology investment initiating further research in areas of data extraction, and information integration as well as manipulation and perception, sensor actuator system, tactile sensing, odour detection, and robotic controller. This study recommends new policies on electronic data delivery from service providers as well as new standards on XML based document structure and format.
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Dayton, Jennifer. "Student perception of behavior management systems /." Full text available online, 2005. http://www.lib.rowan.edu/home/research/articles/rowan_theses.

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Yang, Jeonghwa. "Eden an interactive home network management system /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31755.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2010.
Committee Chair: W. Keith Edwards; Committee Member: Blair MacIntyre; Committee Member: David McDonald; Committee Member: Ellen Yi-Luen Do; Committee Member: John Stasko. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Lundberg, Stefan. "Facilities Management and Health Care at Home." Doctoral thesis, Stockholm : Technology and Health, KTH, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4306.

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Lachut, David S. "A Comprehensive View of Home Energy Management." Thesis, University of Maryland, Baltimore County, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10825526.

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Sensing, networking, and computing are becoming more pervasive, providing the potential to revolutionize our approach to residential energy consumption by assisting energy conservation and increasing the sustainability of energy use to improve users’ quality of life. There are many ways to approach the implementation of home energy management infrastructure.

This dissertation builds a comprehensive picture of such a system that combines a network of consumer-grade home automation components with sophisticated data analytics to manage home energy and contrasts it with a specifically targeted approach based on a custom sensor package. The comprehensive system takes input from various sensors and user input to detect activity, predict home energy consumption, and help the user understand his energy use. The custom sensor eschews the large sensing infrastructure as it helps the user hunt down sources of wasted energy. The projects use in-home hardware and software, a mobile component for user interaction, and a back-end for coordination and computation. These projects exemplify the use of emerging technologies for data collection, user feedback, and data analysis in a residential setting. By contrasting prototypes of a compre- hensive and a specialized system, building energy management infrastructure is explored from multiple directions.

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Zhang, Wei. "Energy Management System in DC Future Home." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56489.

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Making electricity grids smarter and facilitating them with integration of renewable energy sources (RES) and energy storage are fairly accepted as the necessary steps to achieve a sustainable and secure power industry. To enable Net-zero energy and optimize power management for future homes or buildings, DC electric distribution systems (DC Nano-grid) find feasibility and simplicity for integrating renewable energy sources and energy storage. However, integrating the sources and loads in a simple, robust and smart way is still challenging. High voltage lithium-ion battery should be seriously considered concerning the overcharge/over-discharge risk. Dissipative cell equalization and its performance are studied. Non-dissipative equalization methods are reviewed using an energy flow chart. Typical charging schemes and the related over-charge risk are illustrated. A Lithium-ion battery charging profile based on VCell_Max/Min monitoring is proposed and validated with experimental results in an 8.4kW bidirectional battery charger for DC future home. For the DC future home emulator testbed, a grid interface converter, i.e. energy control center (ECC) converter, is reviewed with functions identification. A PV system with different configurations is compared to further expand the common MPPT region, and a DC-DC converter is designed as the interface between PV panels and DC bus, facilitating maximum power point tracking (MPPT) as well as fulfill the system energy management requirement. An 8.4kW multi-phase bidirectional battery charger with Si IGBT in DCM operation is designed to achieve high efficiency and to be the interface converter between lithium-ion battery and DC bus, enhancing the battery system management as well as increasing the system reliability. To integrate all the sources and loads in a simple, reliable and smart way, this thesis proposes a distributed droop control method and smart energy management strategy to enhance the Net-zero electric energy cost. All of the control strategies are applied to the DC future home with interactions among the energy control center (ECC), renewable energy sources, energy storage and load within a day/24 hours. System level energy management control strategies for Net-zero electric energy cost are examined and illustrated. A 10kW future home emulator testbed is built and introduced for concepts validation.
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Books on the topic "Home Management"

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Giordano, Leigh. Case management/facility management. Springfield, Ill: Illinois Dept. of Public Aid, 1986.

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Home health financial management. Gaithersburg, Md: Aspen Publishers, 1996.

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Homefirst Community Health and Social Services Trust. Home help management procedures. [Antrim]: The Trust, 2002.

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P, Herriotts, Houghton R. H, Cochrane G. M, and Disability Information Trust, eds. Home management and housing. Oxford: Disability Information Trust, 1995.

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Ara, Nighat. Home management in family living. Srinagar: Valley Book House, 2013.

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Sara, Roadnight, and Domestic Fowl Trust, eds. Wildfowl at home. (Evesham): Domestic Fowl Trust, 1991.

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Allen, George. Mobilehome park management. Indianapolis, Ind. (P.O. Box 47024, Indianapolis 46247): PMN Pub., 1989.

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Gitobu, Julia K. Principles and practices of home management. Nairobi, Kenya: East African Pub. House, 1985.

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Ridgway, Judy. Home cooking for money. London: Piatkus, 1986.

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1940-, Liden Kathie, ed. The complete book of home management. Chicago: Moody Press, 1985.

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Book chapters on the topic "Home Management"

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Donner, Claudio F. "Home Management Issues." In COPD, 211–24. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-59745-357-8_12.

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Sethom, Kaouthar, Nassim Laga, and Guy Pujolle. "QOS Management in Autonomic Home Networks." In Home Networking, 101–10. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77216-5_8.

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Fergus, Paul, David Llewellyn-Jones, Madjid Merabti, and Arshad Haroon. "Networked Appliances for Home Healthcare and Lifestyle Management." In Home Networking, 313–28. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77216-5_23.

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Bouhafs, Fayҫal, Michael Mackay, and Madjid Merabti. "Home Energy Management Systems." In Communication Challenges and Solutions in the Smart Grid, 53–67. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2184-3_5.

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Ietto-Gillies, Grazia. "Home–Host Country." In The Palgrave Encyclopedia of Strategic Management, 1–3. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_580-1.

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Ietto-Gillies, Grazia. "Home–Host Country." In The Palgrave Encyclopedia of Strategic Management, 678–80. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_580.

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McCormick, Elizabeth, and Meng Zhang. "Opioid Management." In Home-Based Medical Care for Older Adults, 79–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23483-6_12.

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Wilson, Rob, Chris Platts, and Daniel Plumley. "Leisure in the Home." In Torkildsen's Sport and Leisure Management, 191–208. 7th ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9780367823610-12.

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Hassett, Margaret M., and Marjorie H. Farver. "Information Management in Home Care." In Health Informatics, 155–66. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2428-8_14.

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Hassett, Margaret M., and Marjorie H. Farver. "Information Management in Home Care." In Health Informatics, 348–59. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3252-8_25.

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Conference papers on the topic "Home Management"

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Jiang, Yilin, Li Song, Janet K. Allen, and Farrokh Mistree. "Home Energy Management System (HEMS): Coupled Flexible Load Management in Homes." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71680.

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Abstract Electricity suppliers have introduced time-of-use (TOU) metering and pricing in residential buildings in recent years. By increasing the price of electricity during on-peak hours (e.g., 2 pm to 7 pm in summer months), suppliers expect to regulate the energy usage from homeowners when the grid is near capacity. Therefore, homeowners are motivated to shift the load by moving their home electricity use from on-peak hours to off-peak hours for utility cost savings. However, peak load management is another factor that needs to be considered, since a higher peak load might cause other penalties, such as making suppliers change their current tariff policy in the next paying period since the grid needs to fulfill a higher demand. In this paper we explore the Home Energy Management System (HEMS) Strategy for homeowners who are considering saving money by reducing/avoiding the on-peak hour electricity usage while reducing peak load. A multi-goal scheduling problem is solved by constructing a coupled compromise decision support problem in which a water heater is coupled with flexible, non-thermal appliances such as a washing machine. To address these multiple goals, we use Decision Support Problem (DSP) construct. A use case simulation shows that our scheduler can make a reasonable tradeoff between two conflicting goals, helping the homeowner save money while maintaining low peak demand.
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Suzuki, Katsuya, and Masahiro Inoue. "Home network with cloud computing for Home Management." In 2011 IEEE 15th International Symposium on Consumer Electronics - (ISCE 2011). IEEE, 2011. http://dx.doi.org/10.1109/isce.2011.5973862.

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Li, Chenxi, Fengji Luo, Yingying Chen, Zhao Xu, Yinan An, and Xiao Li. "Smart home energy management with vehicle-to-home technology." In 2017 13th IEEE International Conference on Control & Automation (ICCA). IEEE, 2017. http://dx.doi.org/10.1109/icca.2017.8003048.

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Botma, J., G. P. Hancke, and T. D. Ramotsoela. "Solar home energy management system." In 2017 IEEE AFRICON. IEEE, 2017. http://dx.doi.org/10.1109/afrcon.2017.8095717.

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Liu, Guoliang, Shanquan Zhou, Xi Zhou, and Xin Huang. "QoS Management in Home Network." In 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06). IEEE, 2006. http://dx.doi.org/10.1109/cimca.2006.167.

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Jaber, Nabih. "Efficient Home Energy Management System." In 2014 6th International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2014. http://dx.doi.org/10.1109/ntms.2014.6814016.

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Tokmakoff, Andrew A., and Harry van Vliet. "Home media server content management." In ITCom 2001: International Symposium on the Convergence of IT and Communications, edited by John R. Smith, Sethuraman Panchanathan, C. C. Jay Kuo, and Chinh Le. SPIE, 2001. http://dx.doi.org/10.1117/12.434267.

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Singh Jadon, Harshit, Himanshu Prajapati, Kishan Agarwal, Vipul Tyagi, and Geetika Aswani. "Automatic Home Load Management System." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362757.

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Lozano, José. "Toward autonomic digital home management." In 2nd International ICST Conference on Autonomic Computing and Communication Systems. ICST, 2008. http://dx.doi.org/10.4108/autonomics.2008.5.

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Stolojescu-Crisan, Cristina, and Janos Gal. "A Home Energy Management System." In 2022 International Symposium on Electronics and Telecommunications (ISETC). IEEE, 2022. http://dx.doi.org/10.1109/isetc56213.2022.10009984.

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Reports on the topic "Home Management"

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Zandi, Helia, Teja Kuruganti, David Fugate, and Edward Allan Vineyard. VOLTTRON-enabled Home Energy Management System. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1510585.

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Hendron, Robert, Kristin Heinemeier, Alea German, and Joshua Pereira. Modeling Savings for ENERGY STAR Smart Home Energy Management Systems. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1807789.

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Benedict-Nelson, Andrew, Ana Hervada, Patricia Polansky, and Carrie Blakeway Amero. Coordinating Housing, Health and LTSS through Home-Based Care Management. Washington, DC: AARP Public Policy Institute, September 2022. http://dx.doi.org/10.26419/ppi.00170.001.

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Zipperer, A., P. A. Aloise-Young, S. Suryanarayanan, D. Zimmerle, R. Roche, L. Earle, D. Christensen, and P. Bauleo. Electric Energy Management in the Smart Home: Perspectives on Enabling Technologies and Consumer Behavior. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1220236.

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Sitrin, Robert G. Home-Based Diagnosis and Management of Sleep-Related Breathing Disorders in Spinal Cord Injury. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada569677.

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Roy, Dianne E., and Roslyne C. McKechnie. Non-regulated Home Support Worker role in medication support and administration: A scoping review of the literature prepared for the Home & Community Health Association. Unitec ePress, September 2017. http://dx.doi.org/10.34074/rsrp.metro22017.

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The aim of this literature review is to identify and critique literature relating to current policy, guidelines and practice of non-regulated caregivers in relation to medication while they are working with clients in their own homes. The scope of this review comprises medication administration and medication support, which includes medication prompting and assisting the client to take their medication. Out of scope in this review is medication management. The review draws on relevant Aotearoa New Zealand statutes, standards and practice guidelines related to medication support and administration, District Health Board (DHB) policies, and education and training recommended and/ or available to Home Support Workers (HSWs). Relevant published research and international guidelines are also included.
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7

Adams, Sophie, Lisa Diamond, Tara Esterl, Peter Fröhlich, Rishabh Ghotge, Regina Hemm, Ida Marie Henriksen, et al. Social License to Automate: Emerging Approaches to Demand Side Management - Executive Summary. IEA User-Centred Energy Systems Technology Collaboration Programme, October 2021. http://dx.doi.org/10.47568/4xr123.

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Executive Summary of the final report of the Users TCP Social License to Automate Task findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.
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Adams, Sophie, Lisa Diamond, Tara Esterl, Peter Fröhlich, Rishabh Ghotge, Regina Hemm, Ida Marie Henriksen, et al. Social License to Automate: Emerging Approaches to Demand Side Management. IEA User-Centred Energy Systems Technology Collaboration Programme, October 2021. http://dx.doi.org/10.47568/4xr122.

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The Social License to Automate Task has investigated the social dimensions of user engagement with automated technologies in energy systems to understand how end-user trust to automate is built and maintained in different jurisdictions and cultural settings. The rapid uptake of renewable energy systems will require new automated technologies to balance energy supplies. Some developers are looking to locate these in households where energy is being used. This saves moving the energy from centralised generation sites (remote hydro, solar or wind). This report details the findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.
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Zhang, Sisi, Jingxian Zhang, Congying Liang, Xue Yang, and Xiaoping Meng. The role and effectiveness of self-management in a home-based cardiac rehabilitation program: a protocol for systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2020. http://dx.doi.org/10.37766/inplasy2020.5.0093.

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Rastogi, A., P. Shengji, and A. Godbole. Applied Ethnobotany in Natural Resource Management - Traditional Home Gardens; Highlights of a Training Workshop Held at Kohima, Nagaland, India, 18-23 June 1997. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 1998. http://dx.doi.org/10.53055/icimod.272.

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