A Novel Cascading Artificial Neural Networks for Enhanced Distribution Network State Estimation-Reference-Cited by-同舟云学术

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A Novel Cascading Artificial Neural Networks for Enhanced Distribution Network State Estimation

Published:2024-06-25 Issue: Volume: Page:156-161
ISSN:
Container-title:2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
language:
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Author:

El Iaali Mohamad¹,Razi Reza¹,Bruyere Antoine¹,Francois Bruno¹,Soares Joao²

Affiliation:

1. Univ. Lille, Arts et Metiers Institute of Technology,Centrale Lille, Junia, ULR 2697 - L2EP,Lille,France,F-59000

2. Polytechnic of Porto,GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, LASI - Intelligent Systems Associate Laboratory,Porto,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608792.pdf?arnumber=10608792

Reference15 articles.

1. Holistic approach for prioritizing emergency EV charging in an existing distribution network

2. PV-Powered Charging Station with Energy Cost Optimization via V2G Services

3. Energy Management and Control System for Laboratory Scale Microgrid Based Wind-PV-Battery

4. Predictive smart charging of plug-in electric vehicles for parking fleet scenario with modular converters

5. Smart Charging of Electric Vehicles Considering SOC-Dependent Maximum Charging Powers

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