A XGBoost Model with Weather Similarity Analysis and Feature Engineering for Short-Term Wind Power Forecasting
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A XGBoost Model with Weather Similarity Analysis and Feature Engineering for Short-Term Wind Power Forecasting
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 9, Issue 15, Pages 3019
Publisher
MDPI AG
Online
2019-07-26
DOI
10.3390/app9153019
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease
- (2019) Long Pang et al. Frontiers in Genetics
- Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform
- (2019) Yao Liu et al. Applied Sciences-Basel
- Optimal sizing of energy storage system and its cost-benefit analysis for power grid planning with intermittent wind generation
- (2018) Shiwei Xia et al. RENEWABLE ENERGY
- Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks
- (2018) Zhichao Shi et al. IEEE Transactions on Sustainable Energy
- Deep belief network based k-means cluster approach for short-term wind power forecasting
- (2018) Kejun Wang et al. ENERGY
- Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models
- (2017) Jinling Lu et al. Energies
- Wind Power Interval Prediction Based on Improved PSO and BP Neural Network
- (2017) Jidong Wang et al. Journal of Electrical Engineering & Technology
- A novel bidirectional mechanism based on time series model for wind power forecasting
- (2016) Yongning Zhao et al. APPLIED ENERGY
- Current status of wind energy forecasting and a hybrid method for hourly predictions
- (2016) Inci Okumus et al. ENERGY CONVERSION AND MANAGEMENT
- A High-Accuracy Wind Power Forecasting Model
- (2016) Shengchen Fang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A New Wind Power Forecasting Approach Based on Conjugated Gradient Neural Network
- (2016) Tian Li et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- SVM Based Neuro Fuzzy Model for Short Term Wind Power Forecasting
- (2016) V. Ranganayaki et al. NATIONAL ACADEMY SCIENCE LETTERS-INDIA
- Wind power forecasting based on outlier smooth transition autoregressive GARCH model
- (2016) Hao CHEN et al. Journal of Modern Power Systems and Clean Energy
- Important variable assessment and electricity price forecasting based on regression tree models: classification and regression trees, Bagging and Random Forests
- (2015) Camino González et al. IET Generation Transmission & Distribution
- Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm
- (2015) Dai-Zheng Huang et al. Journal of Electrical Engineering & Technology
- Research and Application of a New Hybrid Forecasting Model Based on Genetic Algorithm Optimization: A Case Study of Shandong Wind Farm in China
- (2015) Ping Jiang et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Support-Vector-Machine-Enhanced Markov Model for Short-Term Wind Power Forecast
- (2015) Lei Yang et al. IEEE Transactions on Sustainable Energy
- Review on probabilistic forecasting of wind power generation
- (2014) Yao Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting
- (2013) Wen-Yeau Chang Journal of Applied Mathematics
- Short-Term Wind Power Generation Forecasting: Direct Versus Indirect Arima-Based Approaches
- (2011) Jing Shi et al. International Journal of Green Energy
- Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms
- (2011) C. Hervás-Martínez et al. NEURAL COMPUTING & APPLICATIONS
- Short term wind speed prediction based on evolutionary support vector regression algorithms
- (2010) Sancho Salcedo-Sanz et al. EXPERT SYSTEMS WITH APPLICATIONS
- Short-term wind speed prediction in wind farms based on banks of support vector machines
- (2010) Emilio G. Ortiz-García et al. WIND ENERGY
- Data clustering: 50 years beyond K-means
- (2009) Anil K. Jain PATTERN RECOGNITION LETTERS
- Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks
- (2008) Sancho Salcedo-Sanz et al. NEUROCOMPUTING
- A review on the forecasting of wind speed and generated power
- (2008) Ma Lei et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction
- (2008) Sancho Salcedo-Sanz et al. RENEWABLE ENERGY
- A review on the young history of the wind power short-term prediction
- (2007) Alexandre Costa et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
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 MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search