Application of ALO-ELM on Electricity Demand Forecasting under Spot Power Market-Reference-Cited by-同舟云学术

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Application of ALO-ELM on Electricity Demand Forecasting under Spot Power Market

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)
language:
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Author:

Shi Yan¹,Zhang Wenzhe²,Sang FuMin²,Zhao Lei²,Wang Tao³

Affiliation:

1. Chongqing University of Science&Technology,College of Electrical Engineering,Chongqing,China

2. State Grid Chongqing Electric Power Company,Power Exchange Center,Chongqing,China

3. Beijing Kedong Electric Power Control System Co., Ltd.,Electricity Power Market,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10081933/10081944/10082565.pdf?arnumber=10082565

Reference19 articles.

1. Combined kernel KELM prediction model based on quantum particle swarm optimization;li;Proceedings of 2019 IEEE 3rd Information Conference on Electronic Information Technology and Computer Engineering,2019

2. A review of the research on the prediction model of extreme learning machine;li;Conference Series of 2019 2nd International Conference on Advanced Algorithms and Control Engineering,2019

3. Self-Adaptive Evolutionary Extreme Learning Machine

4. Short-term load forecasting based on optimized learning machine using improved genetic algorithm;lv;Journal of North China Electric Power University,2018

5. Extreme learning machine: a new learning scheme of feedforward neural networks;huang;IEEE International Joint Conference,2005

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