Coordinated Operation and Control in Energy Internet Using Machine Learning and Modeling Optimization-Reference-Cited by-同舟云学术

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Coordinated Operation and Control in Energy Internet Using Machine Learning and Modeling Optimization

Published:2023-10-20 Issue: Volume:8 Page:96-101
ISSN:
Container-title:2023 IEEE International Conference on Energy Internet (ICEI)
language:
Short-container-title:

Author:

Ming Yangyang¹,Cao Junwei²,Cai Shixia³

Affiliation:

1. Tsinghua univeristy,Department of Automation,Beijing,China

2. Beijing National Research Center of Information Science and Technology Tsinghua University,Beijing,China

3. Global Technical Services Business Unit Alibaba Cloud Intelligence Group,Beijing,China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445602/10445603/10445643.pdf?arnumber=10445643

Reference26 articles.

1. The Research of Oil & Gas Energy Saving Index Prediction Based on Neural Network and Quantum-Behaved Particle Swarm Optimization;Liang;Applied Mechanics & Materials,2013

2. Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization

3. Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes

4. Extraction of Electricity Consumption Load Pattern Based on Unsupervised Extreme Learning Machine;Wang;Power System Technology,2018

5. Energy Management of Interconnected Microgrids;Dabbaghjamanesh;A Generalized Extreme Learning Machine Probabilistic Forecasting and Internet of Things Approach

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