Topology-Based Estimation of Missing Smart Meter Readings
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
- Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
- Fateh Nassim Melzi & Allou Same & Mohamed Haykel Zayani & Latifa Oukhellou, 2017. "A Dedicated Mixture Model for Clustering Smart Meter Data: Identification and Analysis of Electricity Consumption Behaviors," Energies, MDPI, vol. 10(10), pages 1-21, September.
- Choi, Sunghee & Hwang, Seok-Joon & Denzau, Arthur T., 2021. "Do households conserve electricity when they receive signals of greater consumption than neighbours? The Korean case," Energy, Elsevier, vol. 225(C).
- Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).
- Haider, Salman & Zafar, Shadman & Jindal, Abhinav, 2024. "Socioeconomic drivers of residential electricity expenditures in India," Utilities Policy, Elsevier, vol. 88(C).
- Mustain Billah & Adnan Anwar & Ziaur Rahman & Syed Md. Galib, 2021. "Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes," Energies, MDPI, vol. 14(13), pages 1-17, June.
- Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017.
"What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France,"
Energy Policy, Elsevier, vol. 108(C), pages 593-605.
- Adnane Kendel & Nathalie Lazaric & Kevin Maréchal, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," ULB Institutional Repository 2013/261826, ULB -- Universite Libre de Bruxelles.
- Adnane Kendel & Nathalie Lazaric & Kevin Maréchal, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Post-Print halshs-01630972, HAL.
- Adnane Kendel & Nathalie Lazaric & Kevin Maréchal, 2017. "What Do People 'Learn By Looking' at Direct Feedback on their Energy Consumption? Results of a Field Study in Southern France," GREDEG Working Papers 2017-19, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Verma, Anoop & Asadi, Ali & Yang, Kai & Tyagi, Satish, 2015. "A data-driven approach to identify households with plug-in electrical vehicles (PEVs)," Applied Energy, Elsevier, vol. 160(C), pages 71-79.
- Yuanping Wang & Lang Hu & Lingchun Hou & Lin Wang & Juntao Chen & Yu He & Xinyue Su, 2024. "A SHAP machine learning-based study of factors influencing urban residents' electricity consumption - evidence from chinese provincial data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30445-30476, December.
- Linwei Pan & Minglei Zhu & Ningning Lang & Tengfei Huo, 2020. "What Is the Amount of China’s Building Floor Space from 1996 to 2014?," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
- Ryu, Do-Hyeon & Kim, Kwang-Jae, 2024. "The influence of information privacy concerns and perceived electricity usage habits on the usage intention of advanced metering infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
- Shailendra Singh & Abdulsalam Yassine, 2018. "Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting," Energies, MDPI, vol. 11(2), pages 1-26, February.
- David Borge-Diez & Pedro Miguel Ortega-Cabezas & Antonio Colmenar-Santos & Jorge Juan Blanes-Peiró, 2021. "Contribution of Driving Efficiency to Vehicle-to-Building," Energies, MDPI, vol. 14(12), pages 1-30, June.
- Alexander Tureczek & Per Sieverts Nielsen & Henrik Madsen, 2018. "Electricity Consumption Clustering Using Smart Meter Data," Energies, MDPI, vol. 11(4), pages 1-18, April.
- Boccard, Nicolas & Gautier, Axel, 2021.
"Solar rebound: The unintended consequences of subsidies,"
Energy Economics, Elsevier, vol. 100(C).
- Nicolas Boccard & Axel Gautier, 2019. "Solar Rebound - The Unintended Consequences of Subsidies," CESifo Working Paper Series 7963, CESifo.
- BOCCARD Nicolas, & GAUTIER Axel,, 2020. "Solar rebound: the unintended consequences of subsidies," LIDAM Discussion Papers CORE 2020002, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
- Guo, Peiyang & Lam, Jacqueline C.K. & Li, Victor O.K., 2019. "Drivers of domestic electricity users’ price responsiveness: A novel machine learning approach," Applied Energy, Elsevier, vol. 235(C), pages 900-913.
- Lazaric, Nathalie & Toumi, Mira, 2022.
"Reducing consumption of electricity: A field experiment in Monaco with boosts and goal setting,"
Ecological Economics, Elsevier, vol. 191(C).
- Nathalie Lazaric & Mira Toumi, 2022. "Reducing consumption of electricity: A field experiment in Monaco with boosts and goal setting," Post-Print halshs-03402212, HAL.
- Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:224-:d:127430. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.