Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting
Authors
Keywords
Wind power forecasting, Real-time wind power forecasting, ARDA model, The advanced control, The step parameter method
Journal
RENEWABLE ENERGY
Volume 169, Issue -, Pages 129-143
Publisher
Elsevier BV
Online
2021-01-09
DOI
10.1016/j.renene.2021.01.003
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
- (2020) Tanveer Ahmad et al. Sustainable Cities and Society
- An adaptive time-resolution method for ultra-short-term wind power prediction
- (2020) Lijuan Li et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
- (2019) Aasim et al. RENEWABLE ENERGY
- Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network
- (2019) Shuang Han et al. APPLIED ENERGY
- Data processing strategies in wind energy forecasting models and applications: A comprehensive review
- (2019) Hui Liu et al. APPLIED ENERGY
- A review on machine learning forecasting growth trends and their real-time applications in different energy systems
- (2019) Tanveer Ahmad et al. Sustainable Cities and Society
- A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
- (2018) Ya-Lan Hu et al. ENERGY CONVERSION AND MANAGEMENT
- An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed
- (2016) Jing Zhao et al. APPLIED ENERGY
- A novel bidirectional mechanism based on time series model for wind power forecasting
- (2016) Yongning Zhao et al. APPLIED ENERGY
- A new wind power prediction method based on chaotic theory and Bernstein Neural Network
- (2016) Cong Wang et al. ENERGY
- Linear and non-linear autoregressive models for short-term wind speed forecasting
- (2016) M. Lydia et al. ENERGY CONVERSION AND MANAGEMENT
- An Optimized Swinging Door Algorithm for Identifying Wind Ramping Events
- (2016) Mingjian Cui et al. IEEE Transactions on Sustainable Energy
- Markov chain modeling for very-short-term wind power forecasting
- (2015) A. Carpinone et al. ELECTRIC POWER SYSTEMS RESEARCH
- Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm
- (2015) Hamed Chitsaz et al. ENERGY CONVERSION AND MANAGEMENT
- A selection of time series models for short- to medium-term wind power forecasting
- (2015) Carsten Croonenbroeck et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Long-term wind resource assessment for small and medium-scale turbines using operational forecast data and measure–correlate–predict
- (2015) S.M. Weekes et al. RENEWABLE ENERGY
- Local models-based regression trees for very short-term wind speed prediction
- (2015) A. Troncoso et al. RENEWABLE ENERGY
- Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
- (2015) Jianzhou Wang et al. RENEWABLE ENERGY
- Short-term wind power forecasting using adaptive neuro-fuzzy inference system combined with evolutionary particle swarm optimization, wavelet transform and mutual information
- (2015) G.J. Osório et al. RENEWABLE ENERGY
- Forecasting wind power in the Mai Liao Wind Farm based on the multi-layer perceptron artificial neural network model with improved simplified swarm optimization
- (2013) Wei-Chang Yeh et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site
- (2013) José A. Carta et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Data efficient measure-correlate-predict approaches to wind resource assessment for small-scale wind energy
- (2013) S.M. Weekes et al. RENEWABLE ENERGY
- Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
- (2013) Da Liu et al. RENEWABLE ENERGY
- Global trend in wind power with special focus on the top five wind power producing countries
- (2012) Bikash Kumar Sahu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Wind power forecasting uncertainty and unit commitment
- (2011) J. Wang et al. APPLIED ENERGY
- Nested ensemble NWP approach for wind energy assessment
- (2011) Sultan Al-Yahyai et al. RENEWABLE ENERGY
- Comprehensive evaluation of ARMA–GARCH(-M) approaches for modeling the mean and volatility of wind speed
- (2010) Heping Liu et al. APPLIED ENERGY
- ARMA based approaches for forecasting the tuple of wind speed and direction
- (2010) Ergin Erdem et al. APPLIED ENERGY
- Very short-term wind speed prediction: A new artificial neural network–Markov chain model
- (2010) S.A. Pourmousavi Kani et al. ENERGY CONVERSION AND MANAGEMENT
- A hybrid statistical method to predict wind speed and wind power
- (2010) Hui Liu et al. RENEWABLE ENERGY
- Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model
- (2010) Erasmo Cadenas et al. RENEWABLE ENERGY
- Very short-term wind power forecasting with neural networks and adaptive Bayesian learning
- (2010) Ruddy Blonbou RENEWABLE ENERGY
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