AI-Driven Energy Forecasting for Electric Vehicle Charging Stations Powered by Solar and Wind Energy

Author:

Shetty Nayana1,Kumar Polamarasetty P2,Nuvvula Ramakrishna S S1,Thalari Sanjeev Kumar3,Arshad Muhammad Waqas4,Alubady Raaid5,Khan Baseem6

Affiliation:

1. NMAM Institute of Technology, NITTE Deemed to be University),Deparmtent of Electrical and Electronics Engineering,Karnataka,India

2. GMR Institute of Technology,Department of Electrical and Electronics Engineering),Rajam,India

3. CMR Institute of Technology

4. University of Bologna Technology,Computer Science and Engineering,Bologna,Italy

5. Al-Ayen University Thi-Qar, Iraq College of Information Networks, University of Babylon,Department of Technical Engineering College,Babylon,Iraq

6. Hawassa University,Department of Electrical and Computer Engineering,Hawassa,Ethiopia

Publisher

IEEE

Reference13 articles.

1. Sustainable energy pricing for wind power plants;Kaldellis;Renewable Energy,2013

2. Wind and solar power forecasting methods: A review;Zhang;Renewable and Sustainable Energy Reviews,2018

3. Achieving the 2% renewables target in the USA: An analysis of the Renewable Portfolio Standard;Brown;Energy Policy,2015

4. A Comprehensive Examination of the Protocols, Technologies, and Safety Requirements for Electric Vehicle Charging Infrastructure

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