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Correction

Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029

1
Department of Computer Science, Federal Urdu University of Arts, Science and Technology Islamabad, Islamabad 44000, Pakistan
2
School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad 44000, Pakistan
3
Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan
4
Computer Sciences Program, Turabah University College, Taif University, P.O. Box 11099, Taif 26571, Saudi Arabia
5
Department of Computer Science, Allama Iqbal Open University, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Energies 2024, 17(18), 4661; https://doi.org/10.3390/en17184661
Submission received: 12 July 2024 / Accepted: 4 September 2024 / Published: 19 September 2024
There was an error in the original publication [1].
A correction has been made to Introduction, Paragraphs 1, 2, 3, 4, 5, 6, 10, 11:
“power vitality” was changed to “power supply”;
“off chance” was changed to “other hand”;
“electricity conveyance” was changed to “electricity supply”;
“force framework” was changed to “power supply framework”;
“force utilization” was changed to “power supply utilization”;
“electric force” was changed to “electric supply”;
“brilliant lattice” was changed to “smart grid”;
“vitality” was changed to “electricity”;
“misfortunes” was changed to “line faults”;
“keen framework” was changed to “smart grid”;
“not kidding sort of issue of various electric organizations” was changed to “very critical matter for almost all electric supply organizations”;
“blunder rate” was changed to “error rate”;
“Progressed Metering Infrastructure” was changed to “Advanced Metering Infrastructure”;
“brilliant” was changed to “smart”;
“such a lot of keen” was changed to “smart”;
“defeat” was changed to “overcome”;
“shopper” was changed to “consumer”;
“conduct” was changed to “pattern”;
“Unaided techniques decide oddities without earlier information about clients’ conduct, and administered strategies decide both typical just as anomalous conduct utilizing a regulated characterization that requires pre-grouped information” was changed to “Unsupervised techniques decide anomalies without earlier information about clients’ utility, and monitoring strategies decide for both normal and abnormal electricity utilizing”.
Corrections were also made to Related Work, Paragraph 6, 8, 9, 10:
“assault” was changed to “attack”;
“vitality” was changed to “electricity”;
“faults” was changed to “false”;
“Information” was changed to “Data”;
“burden checking” was changed to “load monitoring”;
“bunching load occasions” was changed to “accumulated load events”.
In the original publication [1], the quality of Figure 4 was low. The updated Figure 4 appears below.
Energies 17 04661 i001
In the original publication [1], the caption for Figure 6 was not detailed enough. The correct caption appears below.
  • Figure 6. ROC Curve of Proposed vs Existing Methods.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Akram, R.; Ayub, N.; Khan, I.; Albogamy, F.R.; Rukh, G.; Khan, S.; Shiraz, M.; Rizwan, K. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Akram, R.; Ayub, N.; Khan, I.; Albogamy, F.R.; Rukh, G.; Khan, S.; Shiraz, M.; Rizwan, K. Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029. Energies 2024, 17, 4661. https://doi.org/10.3390/en17184661

AMA Style

Akram R, Ayub N, Khan I, Albogamy FR, Rukh G, Khan S, Shiraz M, Rizwan K. Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029. Energies. 2024; 17(18):4661. https://doi.org/10.3390/en17184661

Chicago/Turabian Style

Akram, Rehan, Nasir Ayub, Imran Khan, Fahad R. Albogamy, Gul Rukh, Sheraz Khan, Muhammad Shiraz, and Kashif Rizwan. 2024. "Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029" Energies 17, no. 18: 4661. https://doi.org/10.3390/en17184661

APA Style

Akram, R., Ayub, N., Khan, I., Albogamy, F. R., Rukh, G., Khan, S., Shiraz, M., & Rizwan, K. (2024). Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029. Energies, 17(18), 4661. https://doi.org/10.3390/en17184661

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