A privacy-preserving heterogeneous federated learning framework with class imbalance learning for electricity theft detection
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2024.124789
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Wen, Hanguan & Liu, Xiufeng & Yang, Ming & Lei, Bo & Cheng, Xu & Chen, Zhe, 2023. "An energy demand-side management and net metering decision framework," Energy, Elsevier, vol. 271(C).
- ., 2022. "The Federal Reserve and the Great Depression," Chapters, in: A Comparative History of Central Bank Behavior, chapter 7, pages 159-191, Edward Elgar Publishing.
- Wen, Hanguan & Liu, Xiufeng & Yang, Ming & Lei, Bo & Xu, Cheng & Chen, Zhe, 2024. "A novel approach for identifying customer groups for personalized demand-side management services using household socio-demographic data," Energy, Elsevier, vol. 286(C).
- Cheng, Xu & Shi, Fan & Liu, Yongping & Liu, Xiufeng & Huang, Lizhen, 2022. "Wind turbine blade icing detection: a federated learning approach," Energy, Elsevier, vol. 254(PC).
- Muhammad Mansoor Ashraf & Muhammad Waqas & Ghulam Abbas & Thar Baker & Ziaul Haq Abbas & Hisham Alasmary, 2022. "FedDP: A Privacy-Protecting Theft Detection Scheme in Smart Grids Using Federated Learning," Energies, MDPI, vol. 15(17), pages 1-15, August.
- Smith, Thomas B., 2004. "Electricity theft: a comparative analysis," Energy Policy, Elsevier, vol. 32(18), pages 2067-2076, December.
- Li, Zhengmao & Wu, Lei & Xu, Yan & Wang, Luhao & Yang, Nan, 2023. "Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids," Applied Energy, Elsevier, vol. 331(C).
- Li, Zhengmao & Xu, Yan & Wang, Peng & Xiao, Gaoxi, 2023. "Coordinated preparation and recovery of a post-disaster Multi-energy distribution system considering thermal inertia and diverse uncertainties," Applied Energy, Elsevier, vol. 336(C).
- ., 2022. "The multiple faces of federal government," Chapters, in: Rethinking Public Choice, chapter 8, pages 101-113, Edward Elgar Publishing.
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.- Tan, Bifei & Chen, Simin & Liang, Zipeng & Zheng, Xiaodong & Zhu, Yanjin & Chen, Haoyong, 2024. "An iteration-free hierarchical method for the energy management of multiple-microgrid systems with renewable energy sources and electric vehicles," Applied Energy, Elsevier, vol. 356(C).
- Molin An & Xueshan Han & Tianguang Lu, 2024. "A Stochastic Model Predictive Control Method for Tie-Line Power Smoothing under Uncertainty," Energies, MDPI, vol. 17(14), pages 1-17, July.
- Shang, Yitong & Li, Sen, 2024. "FedPT-V2G: Security enhanced federated transformer learning for real-time V2G dispatch with non-IID data," Applied Energy, Elsevier, vol. 358(C).
- Long Wang, 2023. "Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response," Energies, MDPI, vol. 16(12), pages 1-17, June.
- Zhao, Bingxu & Cao, Xiaodong & Duan, Pengfei, 2024. "Cooperative operation of multiple low-carbon microgrids: An optimization study addressing gaming fraud and multiple uncertainties," Energy, Elsevier, vol. 297(C).
- Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
- Peng, Weike & Gao, Jiaxin & Chen, Yuntian & Wang, Shengwei, 2024. "Bridging data barriers among participants: Assessing the potential of geoenergy through federated learning," Applied Energy, Elsevier, vol. 367(C).
- Imam, M. & Jamasb, T. & Llorca, M. & Llorca, M., 2018. "Power Sector Reform and Corruption: Evidence from Electricity Industry in Sub-Saharan Africa," Cambridge Working Papers in Economics 1801, Faculty of Economics, University of Cambridge.
- Md. Nazmul Hasan & Rafia Nishat Toma & Abdullah-Al Nahid & M M Manjurul Islam & Jong-Myon Kim, 2019. "Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach," Energies, MDPI, vol. 12(17), pages 1-18, August.
- Daví-Arderius, Daniel & Sanin, María-Eugenia & Trujillo-Baute, Elisa, 2017.
"CO2 content of electricity losses,"
Energy Policy, Elsevier, vol. 104(C), pages 439-445.
- Daniel Daví-Arderius & María-Eugenia Sanin & Elisa Trujillo-Baute, 2016. "Co2 content of electricity losses," Working Papers 2016/23, Institut d'Economia de Barcelona (IEB).
- Daniel Daví Arderius & María-Eugenia Sanin & Elisa Trujillo-Baute, 2016. "CO2 Content of Electricity Losses," Documents de recherche 16-08, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
- Daniel Davi-Arderius & Maria-Eugenia Sanin & Elisa Trujillo-Baute, 2017. "CO2 content of electricity losses," Post-Print hal-02878048, HAL.
- Costa-Campi, Maria Teresa & Daví-Arderius, Daniel & Trujillo-Baute, Elisa, 2018.
"The economic impact of electricity losses,"
Energy Economics, Elsevier, vol. 75(C), pages 309-322.
- Maria Teresa Costa-Campi & Daniel Daví-Arderius & Elisa Trujillo-Baute, 2016. "The economic impact of electricity losses," Working Papers 2016/4, Institut d'Economia de Barcelona (IEB).
- Netzah Calamaro & Yuval Beck & Ran Ben Melech & Doron Shmilovitz, 2021. "An Energy-Fraud Detection-System Capable of Distinguishing Frauds from Other Energy Flow Anomalies in an Urban Environment," Sustainability, MDPI, vol. 13(19), pages 1-38, September.
- Haixia Gu & Gaojun Liu & Jixue Li & Hongyun Xie & Hanguan Wen, 2023. "A Framework Based on Deep Learning for Predicting Multiple Safety-Critical Parameter Trends in Nuclear Power Plants," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
- Mazur, Christoph & Hoegerle, Yannick & Brucoli, Maria & van Dam, Koen & Guo, Miao & Markides, Christos N. & Shah, Nilay, 2019. "A holistic resilience framework development for rural power systems in emerging economies," Applied Energy, Elsevier, vol. 235(C), pages 219-232.
- Min, Brian & Golden, Miriam, 2014. "Electoral cycles in electricity losses in India," Energy Policy, Elsevier, vol. 65(C), pages 619-625.
- Miguel Moreira & Frederico Rodrigues & Sílvio Cândido & Guilherme Santos & José Páscoa, 2023. "Development of a Background-Oriented Schlieren (BOS) System for Thermal Characterization of Flow Induced by Plasma Actuators," Energies, MDPI, vol. 16(1), pages 1-17, January.
- Eduardo Correia & Rodrigo Calili & José Francisco Pessanha & Maria Fatima Almeida, 2023. "Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions," Energies, MDPI, vol. 16(6), pages 1-22, March.
- Tan, Bifei & Lin, Zhenjia & Zheng, Xiaodong & Xiao, Fu & Wu, Qiuwei & Yan, Jinyue, 2023. "Distributionally robust energy management for multi-microgrids with grid-interactive EVs considering the multi-period coupling effect of user behaviors," Applied Energy, Elsevier, vol. 350(C).
- Rains, Emily & Abraham, Ronald J., 2018. "Rethinking barriers to electrification: Does government collection failure stunt public service provision?," Energy Policy, Elsevier, vol. 114(C), pages 288-300.
- Adwoa Asantewaa & Tooraj Jamasb & Manuel Llorca, 2022.
"Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach,"
Energies, MDPI, vol. 15(6), pages 1-29, March.
- Asantewaa, Adwoa & Jamasb, Tooraj & Llorca, Manuel, 2020. "Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach," Working Papers 14-2020, Copenhagen Business School, Department of Economics.
- Adwoa Asantewaa, Adwoa & Jamasb, Tooraj & Llorca, Manuel, 2021. "Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach," Efficiency Series Papers 2021/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
More about this item
Keywords
Electricity theft detection; Feature extraction; Heterogeneous federated learning; Protection mechanism; Sensitivity analysis;All these keywords.
Statistics
Access and download statisticsCorrections
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:eee:appene:v:378:y:2025:i:pa:s030626192402172x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.