INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)
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.
"Electric Vehicle Charging Load Forecasting and Scheduling ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d548-d558, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305370.pdf
Downloads:
000118750
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
Facebook Twitter Instagram LinkedIn