Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
出版年份 2021 全文链接
标题
Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
作者
关键词
Solar radiation, Variational mode decomposition, Random forest, Simulated annealing, Volterra model, Energy
出版物
Energy Reports
Volume 7, Issue -, Pages 6700-6717
出版商
Elsevier BV
发表日期
2021-10-19
DOI
10.1016/j.egyr.2021.09.113
参考文献
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- (2021) Zaher Mundher Yaseen CHEMOSPHERE
- Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models
- (2021) Tiyasha Tiyasha et al. MARINE POLLUTION BULLETIN
- Nature-Inspired Optimization Algorithms: Challenges and Open Problems
- (2020) Xin-She Yang Journal of Computational Science
- Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
- (2020) Mumtaz Ali et al. JOURNAL OF HYDROLOGY
- A comprehensive review of hybrid models for solar radiation forecasting
- (2020) Mawloud Guermoui et al. JOURNAL OF CLEANER PRODUCTION
- A survey on river water quality modelling using artificial intelligence models: 2000–2020
- (2020) Tiyasha et al. JOURNAL OF HYDROLOGY
- The potential of novel data mining models for global solar radiation prediction
- (2019) Ahmad Sharafati et al. International Journal of Environmental Science and Technology
- Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
- (2019) Mumtaz Ali et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
- (2019) Ramendra Prasad et al. CATENA
- Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
- (2019) Mumtaz Ali et al. JOURNAL OF HYDROLOGY
- A Novel Decomposition-Optimization Model for Short-Term Wind Speed Forecasting
- (2018) Jianzhong Zhou et al. Energies
- Variational mode decomposition based low rank robust kernel extreme learning machine for solar irradiation forecasting
- (2018) Irani Majumder et al. ENERGY CONVERSION AND MANAGEMENT
- Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
- (2018) Ramendra Prasad et al. GEODERMA
- Multi-step ahead forecasting of daily global and direct solar radiation: A review and case study of Ghardaia region
- (2018) Mawloud Guermoui et al. JOURNAL OF CLEANER PRODUCTION
- A Genetic Simulated Annealing Algorithm to Optimize the Small-World Network Generating Process
- (2018) Haifeng Du et al. COMPLEXITY
- Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model
- (2018) Muzhou Hou et al. Energies
- Wind power prediction based on variational mode decomposition multi-frequency combinations
- (2018) Gang ZHANG et al. Journal of Modern Power Systems and Clean Energy
- Weather forecasting error in solar energy forecasting
- (2017) Hossein Sangrody et al. IET Renewable Power Generation
- Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive
- (2017) Zipeng Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Day-Ahead PM2.5 Concentration Forecasting Using WT-VMD Based Decomposition Method and Back Propagation Neural Network Improved by Differential Evolution
- (2017) Deyun Wang et al. International Journal of Environmental Research and Public Health
- Improved complete ensemble EMD: A suitable tool for biomedical signal processing
- (2014) Marcelo A. Colominas et al. Biomedical Signal Processing and Control
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Wavelet-based multiscale performance analysis: An approach to assess and improve hydrological models
- (2014) Maheswaran Rathinasamy et al. WATER RESOURCES RESEARCH
- Improved historical solar radiation gridded data for Australia
- (2013) Juliusz Zajaczkowski et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Comparative study of different wavelets for hydrologic forecasting
- (2012) R. Maheswaran et al. COMPUTERS & GEOSCIENCES
- Wavelet–Volterra coupled model for monthly stream flow forecasting
- (2012) R. Maheswaran et al. JOURNAL OF HYDROLOGY
- On the time-varying trend in global-mean surface temperature
- (2011) Zhaohua Wu et al. CLIMATE DYNAMICS
- Wavelet-based multiresolution analysis of Wivenhoe Dam water temperatures
- (2011) D. B. Percival et al. WATER RESOURCES RESEARCH
- Australian renewable energy progress
- (2010) A. Zahedi RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of ant algorithms
- (2009) R.J. Mullen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multiscale Image Fusion Using Complex Extensions of EMD
- (2009) D. Looney et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
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