Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Deep Neural Networks are used to identify theft of energy in systems for managing energy.
PaperId: :  21546
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21546
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shubha RThe National Institute of Engineering
Bhavani RThe National Institute of Engineering

Abstract

MCA
Electricity theft, Agglomerative clustering, Artificial neural network ,Faithfull ,Unfaithfull
The prevalence of electricity theft, which is a serious concern, has an bang on equally service company and power consumers. It has a negative impact on the financial health of utility companies, raises electrical safety concerns, and significantly raises energy costs for consumers. The creation of smart grids is essential for preventing electricity theft because these systems produce a vast amount of data, offers user usage data that may be used to detect energy theft via device wisdom or deep learning approaches. Smart grids will offer a no of benefits, including increased energy efficiency, fewer power outages, and improved security, as the demand for electricity rises. One of the main sources of income for utility companies is electricity theft. The goal of this research is to demonstrate how a synthetic neural network may be used to identify energy theft in smart grids. We’ll start by pre-processing the collected data, which we’ll call the Kaggle electricity usage dataset. Then, the Kaggle dataset will be fed into the ANN, which will learn to identify patterns and variations in the consumption data.The ANN will then be trained on the dataset’s valid consumption patterns. Finally, the dataset will be tested against a group of instances of theft

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Shubha R, and Bhavani R. "Deep Neural Networks are used to identify theft of energy in systems for managing energy." International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 186-190
MLA Shubha R, and Bhavani R. "Deep Neural Networks are used to identify theft of energy in systems for managing energy.." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 186-190.
APA Shubha R, & Bhavani R. (2023). Deep Neural Networks are used to identify theft of energy in systems for managing energy.. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 186-190.
Chicago Shubha R, and Bhavani R. "Deep Neural Networks are used to identify theft of energy in systems for managing energy.." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 186-190.
Oxford Shubha R, and Bhavani R. 'Deep Neural Networks are used to identify theft of energy in systems for managing energy.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 186-190. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Neural_Networks_are_used_to_identify_theft_of_energy_in_systems_for_managing_energy__ijariie21546.pdf (Accessed : 06 November 2024).
Harvard Shubha R, and Bhavani R. (2023) 'Deep Neural Networks are used to identify theft of energy in systems for managing energy.', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 186-190IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Neural_Networks_are_used_to_identify_theft_of_energy_in_systems_for_managing_energy__ijariie21546.pdf (Accessed : 06 November 2024)
IEEE Shubha R, and Bhavani R, "Deep Neural Networks are used to identify theft of energy in systems for managing energy.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 186-190, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Neural_Networks_are_used_to_identify_theft_of_energy_in_systems_for_managing_energy__ijariie21546.pdf [Accessed : 06 November 2024].
Turabian Shubha R, and Bhavani R. "Deep Neural Networks are used to identify theft of energy in systems for managing energy.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (06 November 2024).
Vancouver Shubha R, and Bhavani R. Deep Neural Networks are used to identify theft of energy in systems for managing energy.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 06 November 2024]; 9(5) : 186-190. Available from: https://ijariie.com/AdminUploadPdf/Deep_Neural_Networks_are_used_to_identify_theft_of_energy_in_systems_for_managing_energy__ijariie21546.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 11/6/2024 6:57:26 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12