A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies-Reference-Cited by-同舟云学术

A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies

Published:2024-05 Issue: Volume:241 Page:122487
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Jianzhou,Niu Xinsong^ORCID,Zhang Lifang,Liu Zhenkun,Huang Xiaojia

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

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2. A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM;Chen;IEEE Internet of Things Journal,2019

3. Deep belief network for meteorological time series prediction in the internet of things;Cheng;IEEE Internet of Things Journal,2019

4. Variational Mode Decomposition;Dragomiretskiy;IEEE Transactions on Signal Processing,2014

5. A novel hybrid model for short-term wind power forecasting;Du;Applied Soft Computing,2019

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