Data-driven Intelligent Decision Recommender for the Flexible Scheduling of Electrical Vehicles-Reference-Cited by-同舟云学术

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Data-driven Intelligent Decision Recommender for the Flexible Scheduling of Electrical Vehicles

Published:2023-12-01 Issue: Volume: Page:1233-1237
ISSN:
Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Pal Seema¹,Singh Nitin¹,Shantanu Kumar¹,Chaudhary Niraj K¹

Affiliation:

1. MNNIT,Electrical Engineering Department,Allahabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434710.pdf?arnumber=10434710

Reference20 articles.

1. Stochastic user equilibrium based spatial-temporal distribution prediction of electric vehicle charging load

2. Orderly charging of electric vehicles considering new energy consumption and system peak-to-valley differences

3. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

4. Load Forecasting Techniques for Power System: Research Challenges and Survey

5. LSTM-Based Electrical Load Forecasting for Chattogram City of Bangladesh

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