A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction
出版年份 2019 全文链接
标题
A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction
作者
关键词
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出版物
Cognitive Computation
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-12-03
DOI
10.1007/s12559-019-09698-0
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
- (2018) Jingjing Song et al. APPLIED ENERGY
- Short-term wind speed forecasting based on improved ant colony algorithm for LSSVM
- (2018) Yanan Li et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Linear and non-linear proximal support vector machine classifiers for wind speed prediction
- (2018) V. Ranganayaki et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Energy, exergy and economic analysis of a hybrid renewable energy with hydrogen storage system
- (2018) A. Khosravi et al. ENERGY
- Thermo-economic analysis and sizing of the components of an ejector expansion refrigeration system
- (2018) A. Khosravi et al. INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
- Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
- (2018) C. L. Philip Chen et al. IEEE Transactions on Neural Networks and Learning Systems
- Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
- (2018) Min Han et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Recurrent Broad Learning Systems for Time Series Prediction
- (2018) Meiling Xu et al. IEEE Transactions on Cybernetics
- Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events
- (2017) Nan Liu et al. Cognitive Computation
- Neuron Pruning-Based Discriminative Extreme Learning Machine for Pattern Classification
- (2017) Tan Guo et al. Cognitive Computation
- Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison
- (2015) Carlos D. Zuluaga et al. APPLIED ENERGY
- Pattern-Based Wind Speed Prediction Based on Generalized Principal Component Analysis
- (2014) Qinghua Hu et al. IEEE Transactions on Sustainable Energy
- A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier
- (2013) R. Savitha et al. Cognitive Computation
- Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters
- (2012) Fei Wang et al. Energies
- Error analysis of short term wind power prediction models
- (2010) Maria Grazia De Giorgi et al. APPLIED ENERGY
- Conditional weighted combination of wind power forecasts
- (2010) F. Ö. Thordarson et al. WIND ENERGY
- Data clustering: 50 years beyond K-means
- (2009) Anil K. Jain PATTERN RECOGNITION LETTERS
- A review on the forecasting of wind speed and generated power
- (2008) Ma Lei et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Wind farm power prediction: a data-mining approach
- (2008) Andrew Kusiak et al. WIND ENERGY
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