[1]
|
Prevention and Detection of Electricity Theft of Distribution Network
Sustainability,
2023
DOI:10.3390/su15064868
|
|
|
[2]
|
Electricity Theft Detection in Incremental Scenario: A Novel Semi-Supervised Approach Based on Hybrid Replay Strategy
IEEE Transactions on Instrumentation and Measurement,
2023
DOI:10.1109/TIM.2023.3324674
|
|
|
[3]
|
Do Reward and Reprimand Policies Work in Reducing Electricity Distribution Losses?
SSRN Electronic Journal,
2023
DOI:10.2139/ssrn.4651990
|
|
|
[4]
|
Future Prospective of Smart Meters, Net Metering and Electricity Market for Power Distribution companies in Pakistan
2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET),
2023
DOI:10.1109/iCoMET57998.2023.10099361
|
|
|
[5]
|
AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids
IEEE Access,
2022
DOI:10.1109/ACCESS.2022.3150016
|
|
|
[6]
|
Risk assessment and mitigation for electric power sectors: A developing country's perspective
International Journal of Critical Infrastructure Protection,
2022
DOI:10.1016/j.ijcip.2021.100507
|
|
|
[7]
|
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection
Big Data Research,
2022
DOI:10.1016/j.bdr.2021.100285
|
|
|
[8]
|
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection
Big Data Research,
2022
DOI:10.1016/j.bdr.2021.100285
|
|
|
[9]
|
Risk assessment and mitigation for electric power sectors: A developing country's perspective
International Journal of Critical Infrastructure Protection,
2022
DOI:10.1016/j.ijcip.2021.100507
|
|
|
[10]
|
The Palgrave Handbook of Global Social Problems
2022
DOI:10.1007/978-3-030-68127-2_254-1
|
|
|
[11]
|
AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids
IEEE Access,
2022
DOI:10.1109/ACCESS.2022.3150016
|
|
|
[12]
|
Recent Advances in Electrical and Electronic Engineering and Computer Science
Lecture Notes in Electrical Engineering,
2022
DOI:10.1007/978-981-16-9781-4_1
|
|
|
[13]
|
Computational Intelligence in Machine Learning
Lecture Notes in Electrical Engineering,
2022
DOI:10.1007/978-981-16-8484-5_2
|
|
|
[14]
|
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection
Big Data Research,
2022
DOI:10.1016/j.bdr.2021.100285
|
|
|
[15]
|
Application of Machine Learning Algorithm in Managing Deviant Consumer Behaviors and Enhancing Public Service.
Journal of Global Information Management,
2021
DOI:10.4018/JGIM.292064
|
|
|
[16]
|
Application of Machine Learning Algorithm in Managing Deviant Consumer Behaviors and Enhancing Public Service.
Journal of Global Information Management,
2021
DOI:10.4018/JGIM.292064
|
|
|
[17]
|
Urban governance and electricity losses: An exploration of spatial unevenness in Karachi, Pakistan
Energy Research & Social Science,
2021
DOI:10.1016/j.erss.2021.102166
|
|
|
[18]
|
Implementation of Smart Grid Technologies in Pakistan under CPEC Project: Technical and Policy Implications
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3074338
|
|
|
[19]
|
Smart Energy Meter System Design & Simulation Presenting Electricity Theft Methods, Detection and Protection
2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA,
2021
DOI:10.1109/MI-STA52233.2021.9464447
|
|
|
[20]
|
Big data analytics for identifying electricity theft using machine learning approaches in microgrids for smart communities
Concurrency and Computation: Practice and Experience,
2021
DOI:10.1002/cpe.6316
|
|
|
[21]
|
Modelling Residential-Scale Consumer Demographics using Monthly Electricity Consumption Data
2021 IEEE Electrical Power and Energy Conference (EPEC),
2021
DOI:10.1109/EPEC52095.2021.9621651
|
|
|
[22]
|
A data-driven approach to reduce electricity theft in developing countries
Utilities Policy,
2021
DOI:10.1016/j.jup.2021.101304
|
|
|
[23]
|
A PLSTM, AlexNet and ESNN Based Ensemble Learning Model for Detecting Electricity Theft in Smart Grids
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3134754
|
|
|
[24]
|
A data-driven approach to reduce electricity theft in developing countries
Utilities Policy,
2021
DOI:10.1016/j.jup.2021.101304
|
|
|
[25]
|
A voted based random forests algorithm for smart grid distribution network faults prediction
Enterprise Information Systems,
2020
DOI:10.1080/17517575.2019.1600724
|
|
|
[26]
|
Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection
IEEE Access,
2020
DOI:10.1109/ACCESS.2019.2962510
|
|
|
[27]
|
Impact of Feature Selection on Non-technical Loss Detection
2020 6th Conference on Data Science and Machine Learning Applications (CDMA),
2020
DOI:10.1109/CDMA47397.2020.00009
|
|
|
[28]
|
LSTM and Bat-Based RUSBoost Approach for Electricity Theft Detection
Applied Sciences,
2020
DOI:10.3390/app10124378
|
|
|
[29]
|
A voted based random forests algorithm for smart grid distribution network faults prediction
Enterprise Information Systems,
2019
DOI:10.1080/17517575.2019.1600724
|
|
|
[30]
|
Energy production system optimization: Evidence from Pakistan
Renewable and Sustainable Energy Reviews,
2018
DOI:10.1016/j.rser.2017.09.089
|
|
|
[31]
|
An Estimation of the Impact of Uninterpretable Power Supply Systems on Electricity Distribution Utility of Pakistan
Journal of Basic & Applied Sciences,
2018
DOI:10.6000/1927-5129.2018.14.13
|
|
|