A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting-Reference-Cited by-同舟云学术

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting

Published:2020-02 Issue: Volume:205 Page:112461
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Fu Wenlong^ORCID,Wang Kai,Tan Jiawen,Zhang Kai

Funder

National Natural Science Foundation of China

Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station

Hubei Provincial Major Project for Technical Innovation

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference71 articles.

1. WIND POWER CAPACITY WORLDWIDE REACHES 597 GW, 50,1 GW ADDED IN 2018. World Wind Energy Assoc 2019. https://wwindea.org/blog/2019/02/25/wind-power-capacity-worldwide-reaches-600-gw-539-gw-added-in-2018/ (accessed October 5, 2019).

2. Short-term wind speed interval prediction based on ensemble GRU model;Li;IEEE Trans Sustain Energy,2019

3. Deep learning method based on gated recurrent unit and variational mode decomposition for short-term wind power interval prediction;Wang;IEEE Trans Neural Networks Learn Syst,2019

4. A review on the forecasting of wind speed and generated power;Lei;Renew Sustain Energy Rev,2009

5. An improved combination approach based on Adaboost algorithm for wind speed time series forecasting;Xiao;Energy Convers Manage,2018

Cited by 115 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel improved hybrid neural network for predicting heating load in airport building;Journal of Building Engineering;2024-11

2. A new short-term wind power prediction methodology based on linear and nonlinear hybrid models;Computers & Industrial Engineering;2024-10

3. A new decomposition-ensemble strategy fusion with correntropy optimization learning algorithms for short-term wind speed prediction;Applied Energy;2024-09

4. Wind Speed Forecasting Based on Phase Space Reconstruction and a Novel Optimization Algorithm;Sustainability;2024-08-13

5. Wind Energy Production in Italy: A Forecasting Approach Based on Fractional Brownian Motion and Generative Adversarial Networks;Mathematics;2024-07-04