Integrated Model Forecasting of Electric Power Loads for Large Consumers Based on Fuzzy RBF Neural Network-Reference-Cited by-同舟云学术

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Integrated Model Forecasting of Electric Power Loads for Large Consumers Based on Fuzzy RBF Neural Network

Published:2023-12-15 Issue: Volume:41 Page:184-189
ISSN:
Container-title:2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT)
language:
Short-container-title:

Author:

Zhou Hang¹,Li Xue¹,Pan Xiaohui¹,Wang Lifeng¹,Yang Bin¹

Affiliation:

1. State Grid Nanjing Power Supply Company,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420526/10420474/10420617.pdf?arnumber=10420617

Reference26 articles.

1. Carbon neutral oriented transition and revolution of energy systems: multi-energy flow coordination technology;Chen;Electric Power Automation Equipment,2021

2. Stability analysis of sampled-data control system and its application to electric power market

3. Comprehensive evaluation of shared energy storage towards new energy accommodation scenario under targets of carbon emission peak and carbon neutrality;Qiu;Electric Power Automation Equipment,2021

4. A review on data-driven analysis and optimization of power grid;Liu;Automation of Electric Power Systems,2018

5. Big Data Analytics in China's Electric Power Industry: Modern Information, Communication Technologies, and Millions of Smart Meters

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