Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
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-11,Issue-4. 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: :  ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING
PaperId: :  23152
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23152
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SHRI DHARSHINI KBANNARI AMMAN INSTITUTE OF TECHNOLOGY
VANI VIKHASINI N RBANNARI AMMAN INSTITUTE OF TECHNOLOGY
MINNU SRI S KBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Electrical Engineering
Keywords: Support vector machine (SVM), Long Short-Term Memory Algorithm (LSTM), Machine Learning techniques (ML). Internet of Things (IoT).
The project's main focus is on the thorough management of energy resources using demand forecasting, theft detection, and real-time monitoring. It uses voltage and AC current sensors to track energy usage; the collected data is timestamped and stored in a dataset. To overcome this difficulty, the use of Machine Learning (ML) methods into energy management systems has shown promise. Long Short-Term Memory (LSTM) neural networks are used to estimate the future energy consumption, which improves resource planning. Furthermore, a Support Vector Machine (SVM) algorithm trained on historical data is used to detect theft. The integration of these technologies is expected to transform the energy industry by promoting energy conservation, enabling proactive decision-making, and reducing financial losses brought on by energy theft. The collected data is safely uploaded to the ThingSpeak cloud platform, guaranteeing data accessibility and integrity. A web application is created to visualize energy usage, demand projections, and theft alarms in order to improve user involvement and control. In addition to addressing the urgent need for effective energy management, this initiative will help users fight energy theft, make educated decisions, and promote sustainability and resource conservation.

Citations

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

IJARIIE SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. "ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3000-3007
MLA SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. "ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3000-3007.
APA SHRI DHARSHINI K, VANI VIKHASINI N R, & MINNU SRI S K. (2024). ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3000-3007.
Chicago SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. "ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3000-3007.
Oxford SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. 'ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3000-3007. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/ENERGY_DEMAND_PREDICTION_AND_THEFT_DETECTION_USING_MACHINE_LEARNING_ijariie23152.pdf (Accessed : ).
Harvard SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. (2024) 'ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3000-3007IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/ENERGY_DEMAND_PREDICTION_AND_THEFT_DETECTION_USING_MACHINE_LEARNING_ijariie23152.pdf (Accessed : )
IEEE SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K, "ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3000-3007, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/ENERGY_DEMAND_PREDICTION_AND_THEFT_DETECTION_USING_MACHINE_LEARNING_ijariie23152.pdf [Accessed : ].
Turabian SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. "ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver SHRI DHARSHINI K, VANI VIKHASINI N R, and MINNU SRI S K. ENERGY DEMAND PREDICTION AND THEFT DETECTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3000-3007. Available from: http://ijariie.com/AdminUploadPdf/ENERGY_DEMAND_PREDICTION_AND_THEFT_DETECTION_USING_MACHINE_LEARNING_ijariie23152.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
ADAPTIVE CONTROL FOR ROBOTIC MANIPULATOR USING DISTURBANCE COMPENSATORControl Engineering Nguyen Nam Trung Download
Design, Simulation, and Layout of a Folded Cascode Operational Amplifier in 180 nm CMOS TechnologyElectronics EngineeringNguyen Thi Hai Ninh Download
A SYSTEMATIC gm/ID-BASED DESIGN OF TWO-STAGE OTA FOR LOW-POWER APPLICATIONS IN 180nm CMOSElectronics EngineeringNguyen Thi Hai Ninh Download
Human Rail Accident Prevention SystemElectronics EngineeringVARUN RAJULDEV Download
PV SOLAR TOWERElectrcial EngineeringNAGUNOORI SAI SNEHIL Download
PIEZOELECTRIC ENERGY HARVESTING EVERY HIT GENERATES POWERElectrical EngineeringSARRABU JAGADESHWARA RAO Download
Designing of Optimum Solar PV System with MPPT TechniquesELECTRICAL ENGINEERINGHIAMGIRI KADHAMBALA Download
A Hybrid CGJO Algorithm for Optimizing Multimodal and Fixed Benchmark FunctionsElectrical EngineeringRohit Kumar Download
Artificial Intelligence in Electrical Power Systems: Applications in Smart Grid and Fault DetectionElectrical Engineering Prof. Vishal Pratap Mahajan Download
Cybersecurity Standardization and Protocols in Power Systems: A Comprehensive Survey and Case Study for Resilient Electric Vehicles Charging InfrastructureElectrical EngineeringBandar K Mahlawi Download
FLEXIBLE AC TRANSMISSION BY USING THYRISTOR SWITCHING REACTORElectrical EngineeringMr. Ashitosh A. Karape Download
SINGLE STAGE CONVERTER FOR PRECISE SPEED CONTROL OF DC MOTORElectrical EngineeringTANGELLA HARSHINI REDDY Download
Design and implementation of dual-powered charging station for Electric VehicleElectrical EngineeringMr. Kishor P. Jadhav Download
GRID CONNECTED ELECTRICAL VEHICLE CHARGING STATION WITH MULTIRENEWABLE RESOURCEElectrical and Electronics EngineeringCHANDRA SEKAR S Download
Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During LandslidesElectrical and Electronics EngineeringDEEKSHITHA C Download
12