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Research with disaggregated electricity end‐use data in households: review and recommendations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-39146-0_21openalex-snapshot
Understanding the Limitations of Eco-feedback: A One-Year Long-Term Study
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WATTSBurning: Design and Evaluation of an Innovative Eco-Feedback System
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Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions
inferredcites →https://doi.org/10.1007/s12053-008-9009-7openalex-snapshot
Feedback on household electricity consumption: a tool for saving energy?
inferredcites →https://doi.org/10.1016/0378-7788(93)90025-popenalex-snapshot
ELCAP operational experience
inferredcites →https://doi.org/10.1016/0378-7788(93)90026-qopenalex-snapshot
Metered end-use consumption and load shapes from the ELCAP residential sample of existing homes in the Pacific Northwest
inferredcites →https://doi.org/10.1016/j.apenergy.2005.02.002openalex-snapshot
Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data
inferredcites →https://doi.org/10.1016/j.apenergy.2006.09.012openalex-snapshot
Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector
inferredcites →https://doi.org/10.1016/j.apenergy.2011.04.034openalex-snapshot
Exploring variance in residential electricity consumption: Household features and building properties
inferredcites →https://doi.org/10.1016/j.apenergy.2013.03.048openalex-snapshot
Creating an in-home display: Experimental evidence and guidelines for design
inferredcites →https://doi.org/10.1016/j.comnet.2010.05.010openalex-snapshot
The Internet of Things: A survey
inferredcites →https://doi.org/10.1016/j.enbuild.2003.10.009openalex-snapshot
Weather sensitivity in household appliance energy end-use
inferredcites →https://doi.org/10.1016/j.enbuild.2010.10.010openalex-snapshot
Consumer preferences for feedback on household electricity consumption
inferredcites →https://doi.org/10.1016/j.enbuild.2011.03.006openalex-snapshot
Zero energy buildings and mismatch compensation factors
inferredcites →https://doi.org/10.1016/j.enbuild.2011.03.027openalex-snapshot
Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations
inferredcites →https://doi.org/10.1016/j.enbuild.2011.12.017openalex-snapshot
Home energy consumption feedback: A user survey
inferredcites →https://doi.org/10.1016/j.enbuild.2012.01.037openalex-snapshot
Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study
inferredcites →https://doi.org/10.1016/j.enbuild.2012.02.050openalex-snapshot
Measured end-use electric load profiles for 12 Canadian houses at high temporal resolution
inferredcites →https://doi.org/10.1016/j.enbuild.2012.03.025openalex-snapshot
Disaggregating categories of electrical energy end-use from whole-house hourly data
inferredcites →https://doi.org/10.1016/j.enbuild.2012.06.008openalex-snapshot
Information, communication and entertainment appliance use—Insights from a UK household study
inferredcites →https://doi.org/10.1016/j.enbuild.2012.10.016openalex-snapshot
Determinants of electricity consumption in Dutch dwellings
inferredcites →https://doi.org/10.1016/j.enbuild.2013.04.005openalex-snapshot
One size does not fit all: Averaged data on household electricity is inadequate for residential energy policy and decisions
inferredcites →https://doi.org/10.1016/j.energy.2009.07.042openalex-snapshot
The impact of informational feedback on energy consumption—A survey of the experimental evidence
inferredcites →https://doi.org/10.1016/j.enpol.2008.06.001openalex-snapshot
Towards a bright future? Household use of electric light: A microlevel study
inferredcites →https://doi.org/10.1016/j.enpol.2010.05.068openalex-snapshot
Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors
inferredcites →https://doi.org/10.1016/j.enpol.2011.11.049openalex-snapshot
Smart meter data: Balancing consumer privacy concerns with legitimate applications
inferredcites →https://doi.org/10.1016/j.enpol.2012.03.004openalex-snapshot
The role of policy in energy transitions: Lessons from the energy liberalisation era
inferredcites →https://doi.org/10.1016/j.enpol.2012.03.027openalex-snapshot
Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term
inferredcites →https://doi.org/10.1016/j.enpol.2012.05.003openalex-snapshot
Smart grids or smart users? Involving users in developing a low carbon electricity economy
inferredcites →https://doi.org/10.1016/j.enpol.2013.02.030openalex-snapshot
A model of residential energy end-use in Canada: Using conditional demand analysis to suggest policy options for community energy planners
inferredcites →https://doi.org/10.1016/j.enpol.2013.05.107openalex-snapshot
Empowering the end-user in smart grids: Recommendations for the design of products and services
inferredcites →https://doi.org/10.1016/j.enpol.2013.05.109openalex-snapshot
Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012
inferredcites →https://doi.org/10.1016/j.rser.2008.09.033openalex-snapshot
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
inferredcites →https://doi.org/10.1016/s0378-7788(02)00244-xopenalex-snapshot
Research highlights from a large scale residential monitoring study in a hot climate
inferredcites →https://doi.org/10.1080/09613218.2010.494383openalex-snapshot
Energy in New Zealand houses: comfort, physics and consumption
inferredcites →https://doi.org/10.1109/ciasg.2013.6611501openalex-snapshot
Recent approaches to non-intrusive load monitoring techniques in residential settings
inferredcites →https://doi.org/10.1109/mcom.2013.6400447openalex-snapshot
Energy management systems: state of the art and emerging trends
inferredcites →https://doi.org/10.1109/mprv.2009.17openalex-snapshot
Technology-Enabled Feedback on Domestic Energy Consumption: Articulating a Set of Design Concerns
inferredcites →https://doi.org/10.1109/mprv.2010.73openalex-snapshot
Domesticating Energy-Monitoring Systems: Challenges and Design Concerns
inferredcites →https://doi.org/10.1109/mprv.2010.74openalex-snapshot
Disaggregated End-Use Energy Sensing for the Smart Grid
inferredcites →https://doi.org/10.1109/percom.2012.6199866openalex-snapshot
Leveraging smart meter data to recognize home appliances
inferredcites →https://doi.org/10.1109/tsg.2012.2212032openalex-snapshot
Optimal Operation of Residential Energy Hubs in Smart Grids
inferredcites →https://doi.org/10.1111/j.1470-6431.2010.00967.xopenalex-snapshot
Feedback on household electricity consumption: learning and social influence processes
inferredcites →https://doi.org/10.1162/glep_a_00156openalex-snapshot
Global Cities and Transnational Climate Change Networks
inferredcites →https://doi.org/10.1177/1420326x12469733openalex-snapshot
A Critical Review of User Studies on Healthy Smart Homes
inferredcites →https://doi.org/10.3390/s121216838openalex-snapshot
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey
inferredcites →https://doi.org/10.4236/ojee.2013.21002openalex-snapshot
The Effectiveness of Energy Feedback for Conservation and Peak Demand: A Literature Review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4780333openalex-extracted
Sustainable Energy Consumption: Empirical Evidence of a Household in Poland
inferred← citeshttps://doi.org/10.1016/j.applthermaleng.2016.07.133openalex-snapshot
Electrical-end-use data from 23 houses sampled each minute for simulating micro-generation systems
inferred← citeshttps://doi.org/10.1016/j.enbuild.2016.12.054openalex-snapshot
Aggregated and disaggregated correlations of household electricity consumption with time-of-use shifting and conservation
inferred← citeshttps://doi.org/10.1016/j.envsoft.2015.07.012openalex-snapshot
Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review
inferred← citeshttps://doi.org/10.1016/j.erss.2019.101409openalex-snapshot
Making energy surveys more impactful: Testing material and non-monetary response strategies
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121888openalex-snapshot
Design and implementation of a low-cost power logger device for specific demand profile analysis in demand-side management studies for smart grids
inferred← citeshttps://doi.org/10.1016/j.resconrec.2017.12.019openalex-snapshot
Residential Water Consumption Modeling in the Integrated Urban Metabolism Analysis Tool (IUMAT)
inferred← citeshttps://doi.org/10.1109/cpe.2018.8372569openalex-snapshot
High-resolution electricity load profiles of selected houses in Qatar
inferred← citeshttps://doi.org/10.1109/icpesys.2018.8626964openalex-snapshot
Energy Storage Sizing and Photovoltaic Self-Consumption in Selected Households in Qatar
inferred← citeshttps://doi.org/10.1111/ijcs.12325openalex-snapshot
Load profiles and flexibility in operation of washing machines and dishwashers in Europe
inferred← citeshttps://doi.org/10.1186/s13705-018-0169-9openalex-snapshot
Towards a smart and sustainable residential energy culture: assessing participant feedback from a long-term smart grid pilot project
inferred← citeshttps://doi.org/10.32920/ryerson.14664837openalex-snapshot
Evaluating perception towards electric vehicles in the Greater Toronto and Hamilton Area
inferred← citeshttps://doi.org/10.32920/ryerson.14664837.v1openalex-snapshot
Evaluating perception towards electric vehicles in the Greater Toronto and Hamilton Area
inferred← citeshttps://doi.org/10.70675/f3a63eb2z367cz4a25za67cza06399beaed2openalex-snapshot
Modélisation dynamique, classification et détection de changement dans les panels catégoriels issus d'un réseau d'eau intelligent
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