Relevant bibliographies by topics / Smart household

Contents

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

Academic literature on the topic 'Smart household'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Smart household"

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Wester, Misse. "My Fault or Default—Household Behaviors Living in a Climate-Smart Building." Buildings 12, no. 2 (2022): 245. http://dx.doi.org/10.3390/buildings12020245.

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Decreasing climate impact of households is a concern for many actors. One way to address this challenge is to focus on household behaviors related to energy use and consumption. Another is to construct climate-smart houses that encourage households to utilize smart functions that reduce emissions. This article examines the link between these two strategies and investigates how living in a climate-smart house affects household behaviors, by conducting interviews with households before and after they moved into a climate-neutral house. Results indicate that overall, emissions decrease after the
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Narayana Palety, Badari, and C. Mahalakshmi. "Analysing the Residential Electricity Consumption using Smart Meter." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 2s (2022): 36–49. http://dx.doi.org/10.17762/ijritcc.v10i2s.5910.

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A massive amount of electricity usage may be accessed on an everyday and hourly basis due to the advancement of smart power measuring technology. Electricity demand management and utility load management are made easier by energy usage forecasts. The majority of earlier studies have concentrated on the power consumption of business clients or residential buildings, or they have experimented with individual household electricity usage using behavioral and occupant sensor information. This study used smart meters to examine energy usage at a single household level to enhance residential energy s
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Ramli, Hidayati, Zahirah Mokhtar Azizi, and Niraj Thurairajah. "Catalysing Urban Sustainability Transitions Through Household Smart Technology Engagement." Sustainability 17, no. 5 (2025): 1999. https://doi.org/10.3390/su17051999.

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Households account for 20–40% of carbon emissions in urban areas, making them critical to achieving urban sustainability. Integrating smart technologies in households offers a promising pathway to enhance energy efficiency, mitigate climate change, and support the transition from Smart Cities to Sustainable Smart Cities (SSCs). However, achieving this transition requires not only technological adoption but also behavioural shifts that influence energy consumption—a gap in existing studies. This study examines how household engagement with smart technologies impacts behavioural change and syste
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Blonz, Joshua, Karen Palmer, Casey J. Wichman, and Derek C. Wietelman. "Smart Thermostats, Automation, and Time-Varying Prices." American Economic Journal: Applied Economics 17, no. 1 (2025): 90–125. https://doi.org/10.1257/app.20210618.

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Can automation complement economic incentives? We explore this question by randomly encouraging households to activate a feature on their existing smart thermostat that automates responsiveness to time-of-use electricity pricing. The feature reduces air conditioning use during the highest-priced afternoon period, raising indoor temperatures above a household's preferred temperature, primarily for customers who are typically home during the day. Customers infrequently override the feature when they experience discomfort, suggesting that they are willing to trade off monetary savings for small i
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Xu, Yang. "Design of Smart Household Monitoring Platform Based on Internet of Things." Advanced Materials Research 989-994 (July 2014): 4598–602. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4598.

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In order to popularize the intelligent monitoring in households, this thesis is aimed to conduct researches on“Household Monitoring System based on the Internet of Things (IOT)”and starts with the design of this system. General technology concerning household video monitoring and home appliance controlling in computers, mobile phones, etc. is explored in this thesis and a household monitoring system based on IOT is set up. According to experiments, the household monitoring system has various functions such as operating once plugged, ad hoc network, various and interactive controlling methods a
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Khoiruddin, Mohammad, Endang Retnoningsih, and Syahbaniar Rofiah. "Smart Home System for Controlling Household Appliances Utilizing Photovoltaic Technology." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 12, no. 1 (2024): 127–38. http://dx.doi.org/10.33558/piksel.v12i1.9261.

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Photovoltaic is a technology that functions to convert solar energy into electrical energy directly. The smart home system for controlling household appliances with Photovoltaic technology is a concept that integrates renewable technology and artificial intelligence to increase the efficiency and sustainability of energy use in households. By using the ESP32 microcontroller as the main control system to monitor and regulate power usage based on the availability of solar energy. The system starts by checking the solar voltage, if it is providing enough power to household appliances. If the sola
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Khairullah, Khairullah, Marhalim Marhalim, Ujang Juhardi, and Eky Wahyu Febriansyah. "Sistem Penentuan Rumah Tangga Miskin Di Kota Bengkulu Menggunakan Metode SMART." J-SISKO TECH (Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD) 6, no. 2 (2023): 393. http://dx.doi.org/10.53513/jsk.v6i2.8011.

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Poverty is one of the problems that seems to continue to arise in this country's problems. The Social Service is one of the government agencies engaged in the social sector which carries out data collection activities and determines poor households in the city of Bengkulu. The problem in this study is that the determination of poor households is still done manually so that they are prone to errors or human errors in the process. In this research a software system for determining poor households has been created so that it can be a tool for the Bengkulu City Social Service in determining househ
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Wang, Lihao. "Household smart cat litter box." Journal of Physics: Conference Series 1750 (January 2021): 012008. http://dx.doi.org/10.1088/1742-6596/1750/1/012008.

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Hariharan, Vinod K., Surabhi Mittal, Munmun Rai, et al. "Does climate-smart village approach influence gender equality in farming households? A case of two contrasting ecologies in India." Climatic Change 158, no. 1 (2018): 77–90. http://dx.doi.org/10.1007/s10584-018-2321-0.

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Abstract Evidence from climate-smart village (CSV) approach to mainstream climate-smart agriculture (CSA) demonstrates improved productivity, income, and reduced climatic risks. However, its contribution to gender empowerment in diverse farming households is not documented. This study creates a Gender Empowerment Index for climate-smart villages (GEI-CSV) based on four major measurable indicators—political, economic, agricultural, and social. The gender gap was derived by mapping difference in empowerment levels across selected CSVs and non-CSVs. These indicators can be used as a vital tool to
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Yildiz, Baran, Jose I. Bilbao, Jonathon Dore, and Alistair B. Sproul. "Short-term forecasting of individual household electricity loads with investigating impact of data resolution and forecast horizon." Renewable Energy and Environmental Sustainability 3 (2018): 3. http://dx.doi.org/10.1051/rees/2018003.

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Smart grid components such as smart home and battery energy management systems, high penetration of renewable energy systems, and demand response activities, require accurate electricity demand forecasts for the successful operation of the electricity distribution networks. For example, in order to optimize residential PV generation and electricity consumption and plan battery charge-discharge regimes by scheduling household appliances, forecasts need to target and be tailored to individual household electricity loads. The recent uptake of smart meters allows easier access to electricity readi
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Dissertations / Theses on the topic "Smart household"

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Adika, Christopher Otieno. "Automated Demand Response Approaches to Household Energy Management in a Smart Grid Environment." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1396205896.

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Lauer, Michelle(Michelle F. ). "Real-time household energy prediction : approaches and applications for a blockchain-backed smart grid." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121676.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 91-94).<br>In the current era of Internet of Things (IoT) devices, household solar panels, and increasingly aordable local energy storage, energy grid systems are facing a new set of challenges that they were not originally de
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Yao, Zhuo. "Smart Data Driven and Adaptive Modeling Framework for Quantifying Dynamic TAZ-based Household Travel Carbon Emissions." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731814.

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Segelsjö, Duvernoy Rebecca, and Johanna Lundblad. "Development of a Smart Charging Algorithm for Electric Vehicles at Home." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384707.

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The purpose of this bachelor thesis is to develop a smart charging algorithm for electric vehicles (EVs) and examine the potential of the smart charging scheme, compared to uncontrolled charging scheme at residential houses with an installed photovoltaic (PV) system. The thesis examines if smart charging can increase the photovoltaic self-consumption and self-sufficiency of houses. Also, the thesis will evaluate if the smart charging scheme can reduce the household peak loads compared to the uncontrolled charging scheme. The presented results show that the implementation of the proposed algori
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Boström, Christoffer. "Optimization of a Household Battery Storage : The Value of Load Shift." Thesis, Uppsala universitet, Fasta tillståndets fysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298417.

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Sweden’s energy system is facing major changes in the near future in order to reducecarbon emissions and to switch to sustainable energy sources. PV systems havebecome a sensible alternative for homeowners that want to be a part of this changeand at the same time reduce the cost of their electricity bill. To further improve theutilization of their PV system and to handle the intermittent nature of solar power,battery storages have become an interesting system complement. This thesisinvestigates how batteries can provide smart services; load shift and peak price energyutilization to a household
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Papetti, Alessandra. "Methods and tools for reducing food waste in the household environment." Doctoral thesis, Università Politecnica delle Marche, 2016. http://hdl.handle.net/11566/242952.

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Il “Food Waste” nell’Unione Europea ammonta a circa 89 milioni di tonnellate per anno di cui il 42% proviene dall’ambiente domestico. È stato, inoltre, stimato che il 60% di quest’ultimo è evitabile sensibilizzando il consumatore finale e incentivandolo all’adozione di migliori abitudini alimentari che consentono, tra l‘altro, di ridurre i problemi di salute e obesità. A tal proposito, numerosi sforzi sono stati dedicati dal mondo scientifico e industriale al riuso degli scarti delle industrie alimentari, allo sviluppo di nuovi sistemi per la gestione dei rifiuti e al lancio di campagne di se
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Dato, Prudence. "La transition énergétique." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAA025/document.

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La transition vers les énergies renouvelables implique deux types de préoccupations environnementales. Les combustibles fossiles sont épuisables et leur utilisation génère des externalités négatives à travers des dommages environnementaux irréversibles. En outre, il existe des possibilités de synergies entre les mesures d'efficacité énergétique et l’adoption de l'énergie renouvelable dans la mesure où les premières réduisent la demande d'énergie de sorte que la dernière puisse commencer à réduire les émissions futures de gaz à effet de serre. L'objectif principal de cette thèse est d'analyser
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Jakobsson, Thorman Carl-Wilhelm, and Tommy Kovala. "Smart Customer Relationship : Investigating how customer relationships influence the development of demand response for the future electricity retail market." Thesis, Mälardalens högskola, Industriell ekonomi och organisation, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28356.

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The fact that household customers are central in the discussion of future sustainable energy systems compels the Swedish electricity retail companies to provide strategies in order to successfully follow the trends on the electricity market. The purpose of this thesis is to complement the electricity retail companies’ understanding of how they are able to enter a sustainable and close business relationship with these customers. The purpose is fulfilled by the analysis of how relationship concepts impact the development of demand response specifically. The information has been collected through
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Gerossier, Alexis. "Short-term forecasting of electricity demand of smart homes and distribution grids." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM056.

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Cette thèse s’intéresse à la prévision à court terme de la demande électrique d’une maison intelligente et des réseaux de distribution. Les données mesurées par les compteurs intelligents permettent de caractériser la demande électrique à l’échelle d’une maison et de la comparer à la demande régionale, pour étudier notamment l’effet de foisonnement. Cette analyse permet de développer des modèles de prévision de cette demande. Ces modèles sont de nature statistique et font usage de méthodes d’apprentissage automatique. Un soin particulier est porté à la sélection de variables d’entrée pertinent
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Ly, Sandra, and Linda Thell. "Förbrukningsflexibilitetens potential och påverkan på kraftsystemet : Med fokus på automatisk frekvensreglering genom styrning av kylskåp." Thesis, Uppsala universitet, Elektricitetslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260213.

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Increased use of variable energy and integration of electricity markets in the European Union have led to new challenges when balancing supply and demand in the grid. Load management is a possible way to manage these challenges by adjusting electricity consumption in order to balance the power system. Household appliances can be used for this purpose, for example by providing automatic frequency control. The aim of this master thesis is to investigate the potential of load management from private households and to examine how the power system is affected by a more flexible electricity consumpt
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Books on the topic "Smart household"

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Meyer, Gordon. Smart Home Hacks. O'Reilly, 2004.

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Benson, Gail. Smart moves for the relocating family. River Forest Pub., 1987.

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Little, Jean. One smart skunk. Blue Apple Books, 2004.

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Grinyer, Clive. Smart design: The products of lateral thinking. RotoVision, 2001.

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Miller, Richard Kendall. Survey on smart homes and home automation. Future Technology Surveys, 1989.

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Briere, Daniel D. Smart homes for dummies. 3rd ed. Wiley Pub., Inc., 2007.

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Briere, Daniel D. Smart homes for dummies. 3rd ed. Wiley Pub., Inc., 2007.

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Briere, Daniel D. Smart Homes For Dummies. John Wiley & Sons, Ltd., 2007.

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Pacifica, Technica, ed. Easy X10 projects for creating a smart home. Indy-Tech, 2005.

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Abinye, Pollyn Gabriel. Gender analysis of adoption of climate smart agriculture practices and impact on household nutrition of smallholder farmers in Uganda. Centre for Sustainable Development, University of Ibadan, 2018.

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Book chapters on the topic "Smart household"

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Zerguini, Seghir, and Nathalie Gaussier. "MUST-B: A Multiagent Model to Address the Future Challenges of Sustainable Urban Development." In Smart Cities. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35664-3_11.

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AbstractThis chapter presents the MUST-B model based on a systemic modeling that aims to address some of the future challenges of the smart cities. MUST-B stands for “Integrated Modeling of Land-Use – Transport for application in the Bordeaux agglomeration” and is funded by the Region Nouvelle Aquitaine. MUST-B is based on systemic land-use/transport modeling about how the land and property markets operate, and the interdependent factors for selecting the locations of households and employment. MUST-B is an agent-oriented model which simulates household and job location choices. It is based on
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Colacurcio, Giovanni, Sergio Nesmachnow, Jamal Toutouh, Francisco Luna, and Diego Rossit. "Multiobjective Household Energy Planning Using Evolutionary Algorithms." In Smart Cities. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38889-8_21.

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Llagueiro, Pablo, Rodrigo Porteiro, and Sergio Nesmachnow. "Characterization of Household Electricity Consumption in Uruguay." In Smart Cities. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52517-9_3.

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Prayongpun, N., and V. Sittakul. "Smart Plug for Household Appliances." In Proceedings of 2nd International Conference on Intelligent Computing and Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1645-5_26.

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Wang, Yi, Qixin Chen, and Chongqing Kang. "Coding for Household Energy Behavior." In Smart Meter Data Analytics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2624-4_9.

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Chavat, Juan, Jorge Graneri, and Sergio Nesmachnow. "Household Energy Disaggregation Based on Pattern Consumption Similarities." In Smart Cities. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38889-8_5.

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Makonin, Stephen, Philippe Pasquier, and Lyn Bartram. "Elements of Consumption: An Abstract Visualization of Household Consumption." In Smart Graphics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22571-0_25.

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Baidalinova, Ainur S., Shakizada U. Niyazbekova, Zhanar Baigireyeva, and Assem Myrkanova. "Household Food Security in Kazakhstan." In "Smart Technologies" for Society, State and Economy. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59126-7_13.

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Ukolova, Anna, and Denis Bykov. "Clustering of Household Plots Using Self-organizing Maps." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4410-7_39.

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Asfaw, Solomon, and Benjamin Davis. "Can Cash Transfer Programmes Promote Household Resilience? Cross-Country Evidence from Sub-Saharan Africa." In Climate Smart Agriculture. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61194-5_11.

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Conference papers on the topic "Smart household"

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Ngo, Tien Sang, Thi Thu Phuong Nguyen, Vu Quang Nguyen, et al. "Vision-Based Household Waste Classification and Smart Bin Development." In 2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, 2024. https://doi.org/10.1109/iccais63750.2024.10814217.

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Minárik, Ivan, Matúš Vaño, Matúš Prekopa, and Javlon Tursunov. "Smart Household Speech Recognition Based on Locally-Run Neural Network." In 2024 International Symposium ELMAR. IEEE, 2024. http://dx.doi.org/10.1109/elmar62909.2024.10694605.

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Dong, Yan, Aoyi Shen, Jiangyu Pan, et al. "Smart Household Management: Leveraging AI Agents to Equalize Chore Distribution." In 2024 17th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2024. https://doi.org/10.1109/iscid63852.2024.00016.

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Vinod, Vibin Mammen, Vijayalakshmi J, Murugesan G, Pranesh S, Santhosh Mari M, and Sarjun Ahmed K. "Development of Household Energy Usage Monitoring Smart Meter System Using Lorawan." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717075.

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Sung, Yeolhoon, Jooyeoun Lee, and Myoungsug Chung. "Decomposition Analysis of Household Electricity Consumption in South Korean Municipalities." In 2025 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2025. https://doi.org/10.1109/bigcomp64353.2025.00090.

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Kenny Gee Oberoi, J. M., Myreddy Kumar Durga Trinadh, Satyam Sharma, and P. V. Manitha. "Integrating Machine Learning into Modified CUK Converters for Household Solar Applications." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722214.

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Raiker, Gautam Anil, Vasundhara V. Baligar, Deepti Lakshmi Ravi, and Subba Reddy B. "Demand Response Platform with IoT and NILM for Household Energy Management." In 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2024. https://doi.org/10.1109/isgtasia61245.2024.10876265.

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Alatba, Sura Rahim, Hudsein Adnan Obaid, Waleed Hameed, and Saif O. Husain. "Load Identification Method of Household-Smart Meter Based on Decision Tree Algorithm." In 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). IEEE, 2024. http://dx.doi.org/10.1109/icsseecc61126.2024.10649471.

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Palacios-Garcia, Emilio J., Geert Deconinck, and Barry P. Hayes. "Multi-dimensional flexibility potential quantification of household appliances from smart meter data." In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2024. https://doi.org/10.1109/isgteurope62998.2024.10863207.

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Takara, Lucas de Azevedo, Luis Fernando Rodrigues Agottani, Cesar Vinicius Züge, Wendel Rafael de Souza Chaves, Leandro dos Santos Coelho, and Viviana Cocco Mariani. "Deep Learning-Based Probabilistic Forecasting of Household Energy Consumption in Smart Grids." In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2024. https://doi.org/10.1109/isgteurope62998.2024.10863218.

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Reports on the topic "Smart household"

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Mekuria, W., F. Hagos, L. Nigussie, W. Admasu, and A. Bitew. Impacts of landscape and household climate-smart water management practices in the Awash River Basin, Ethiopia. International Water Management Institute (IWMI), 2024. http://dx.doi.org/10.5337/2024.214.

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Battams, Nathan, and Margo Hilbrecht. COVID-19 IMPACTS: Newcomer and Refugee Mothers in Canada – Final Report. The Vanier Institute of the Family, 2022. http://dx.doi.org/10.61959/mcee6286e.

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A growing number of studies have shown that the COVID-19 pandemic has had unequal impacts on the health, well-being and finances of different types of families. Newcomers and refugees, many of whom may face challenging circumstances, may be especially vulnerable as they settle into their new life in Canada. In spring 2021, the Vanier Institute of the Family partnered with Mothers Matter Centre to explore the impacts of COVID-19 on newcomer and refugee mothers enrolled in their programs in the COVID-19 IMPACTS: Newcomer and Refugee Mothers in Canada survey. The Mothers Matter Centre is a nation
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Haddad, J., L. A. Horta Nogueira, Germano Lambert-Torres, and L. E. Borges da Silva. Energy Efficiency and Smart Grids for Low Carbon and Green Growth in Brazil: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbean. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0007001.

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The Brazilian continental dimensions and diversified natural resources are proportional to the challenges to develop its infrastructure sustainably and supply proper public services to more than 200 million inhabitants. Energy consumption has doubled since 1990, fostered by economic growth and the expansion of middle class. In this context, promote energy efficiency, in a broad sense, is urgent and rational. Brazil has a relatively long history in promoting energy efficiency at final user level. A landmark of this process is the Brazilian Labeling Program, launched in 1984, as direct consequen
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