Long-Term Power Load Forecasting via Sine Neural Network Using Multiple Functions Decomposition Method-Reference-Cited by-同舟云学术

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Long-Term Power Load Forecasting via Sine Neural Network Using Multiple Functions Decomposition Method

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
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Author:

Li Litian¹,Shi Runhao²,Zhang Yunong²,Yang Min³,Li Zhenyu²,Ye Chengxu⁴

Affiliation:

1. Sun Yat-Sen University,School of Artificial Intelligence,Zhuhai,China,519082

2. Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China,510006

3. Sun Yat-Sen University,School of Electronics and Information Technology,Guangzhou,China,510006

4. Research Institute of Sun Yat-sen University in Shenzhen,Shenzhen,China,518057

Funder

National Natural Science Foundation of China

Research and Development

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728371.pdf?arnumber=9728371

Reference30 articles.

1. Root mean square error (RMSE) or mean absolute error (MAE)?

2. Long-term load forecasting in electricity market

3. Short-Term Load Forecasting for Baghdad Electricity Region

4. Forecasting electricity consumption by clustering data in order to decline the periodic variable’s affects and simplification the pattern

5. Electric load forecasting using an artificial neural network

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