Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
Authors
Keywords
-
Journal
Energies
Volume 7, Issue 8, Pages 5251-5272
Publisher
MDPI AG
Online
2014-08-14
DOI
10.3390/en7085251
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks
- (2013) Luis Hernández et al. Energies
- Exogenous Measurements from Basic Meteorological Stations for Wind Speed Forecasting
- (2013) José Palomares-Salas et al. Energies
- Hour-Ahead Wind Speed and Power Forecasting Using Empirical Mode Decomposition
- (2013) Ying-Yi Hong et al. Energies
- Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method
- (2013) Wen-Yeau Chang Energies
- Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting
- (2013) Guo-Feng Fan et al. Energies
- Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model
- (2013) Jie Wu et al. ENERGY CONVERSION AND MANAGEMENT
- Performance measurements of monocrystalline silicon PV modules in South-eastern Italy
- (2013) P.M. Congedo et al. ENERGY CONVERSION AND MANAGEMENT
- Hybrid Kalman Filters for Very Short-Term Load Forecasting and Prediction Interval Estimation
- (2013) Che Guan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A hybrid forecasting approach applied to wind speed time series
- (2013) Jianming Hu et al. RENEWABLE ENERGY
- Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
- (2013) Hao Quan et al. IEEE Transactions on Neural Networks and Learning Systems
- A Fuzzy Group Forecasting Model Based on Least Squares Support Vector Machine (LS-SVM) for Short-Term Wind Power
- (2012) Qian Zhang et al. Energies
- Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm
- (2012) Hongze Li et al. Energies
- Probabilistic Wind Power Forecasting Using Radial Basis Function Neural Networks
- (2012) George Sideratos et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Predicting the energy output of wind farms based on weather data: Important variables and their correlation
- (2012) Ekaterina Vladislavleva et al. RENEWABLE ENERGY
- Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods
- (2011) Maria Grazia De Giorgi et al. ENERGY
- Fine tuning support vector machines for short-term wind speed forecasting
- (2011) Junyi Zhou et al. ENERGY CONVERSION AND MANAGEMENT
- Wind farm power prediction based on wavelet decomposition and chaotic time series
- (2011) Xueli An et al. EXPERT SYSTEMS WITH APPLICATIONS
- Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
- (2011) A. Khosravi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Current methods and advances in forecasting of wind power generation
- (2011) Aoife M. Foley et al. RENEWABLE ENERGY
- On comparing three artificial neural networks for wind speed forecasting
- (2010) Gong Li et al. APPLIED ENERGY
- Error analysis of short term wind power prediction models
- (2010) Maria Grazia De Giorgi et al. APPLIED ENERGY
- Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece
- (2009) G. Xydis et al. APPLIED ENERGY
- Estimation of wind velocity over a complex terrain using the Generalized Mapping Regressor
- (2009) M. Beccali et al. APPLIED ENERGY
- Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
- (2008) N AMJADY et al. ENERGY
- Statistical Analysis of Wind Power Forecast Error
- (2008) H. Bludszuweit et al. IEEE TRANSACTIONS ON POWER SYSTEMS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now