Paper Title

Electric Vehicle Charging Load Forecasting and Scheduling

Article Identifiers

Registration ID: IJNRD_194035

Published ID: IJNRD2305370

DOI: Click Here to Get

Authors

G Veenavani , G sai sunandha , G Sheershika , E Venkataraman

Keywords

EV, RNN’s, CNN’s, Dynamic Pricing, Load Forecasting, EV’s Charging time scheduling.

Abstract

Electric Vehicle (EV) charging infrastructure is becoming increasingly important as the number of EVs on the roads continues to grow. In this thesis, we propose a forecasting and scheduling model for EV charging loads, which incorporates a dynamic pricing policy to optimize the use of the available charging infrastructure. The model utilizes Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) algorithms to predict EV charging demand, based on data gathered from various sources and regulate the patterns of EV usage. The dynamic pricing policy aims to incentivize EV owners to charge their vehicles during off-peak hours, when the electricity demand is low, by offering lower prices. The proposed model will contribute to the efficient management of the EV charging infrastructure, reduce the burden on the power grid, and promote the widespread adoption of EVs. The significance of CNN and RNN algorithms lies in their ability to analyze large and complex datasets and make accurate predictions based on past patterns.

How To Cite

"Electric Vehicle Charging Load Forecasting and Scheduling ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d548-d558, May-2023, Available :https://ijnrd.org/papers/IJNRD2305370.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : d548-d558

Other Publication Details

Paper Reg. ID: IJNRD_194035

Published Paper Id: IJNRD2305370

Downloads: 000121125

Research Area: Computer Engineering 

Country: Madanapalle, Chittoor , Andhrapradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305370.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305370

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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