Long-Term Estimation of Wind Power by Probabilistic Forecast Using Genetic Programming
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Long-Term Estimation of Wind Power by Probabilistic Forecast Using Genetic Programming
Authors
Keywords
-
Journal
Energies
Volume 13, Issue 8, Pages 1885
Publisher
MDPI AG
Online
2020-04-13
DOI
10.3390/en13081885
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Technical assessment of small-scale wind power for residential use in Mexico: A Bayesian intelligence approach
- (2020) Monica Borunda et al. PLoS One
- Wind speed distribution selection – A review of recent development and progress
- (2019) Christopher Jung et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Seasonal Wind Energy Characterization in the Gulf of Mexico
- (2019) Alberto-Jesus Perea-Moreno et al. Energies
- Different Models for Forecasting Wind Power Generation: Case Study
- (2017) David Barbosa de Alencar et al. Energies
- Direct Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation
- (2017) Can Wan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius
- (2016) AZ Dhunny et al. Journal of Energy in Southern Africa
- Time series forecasting with genetic programming
- (2016) Mario Graff et al. Natural Computing
- Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
- (2016) Jianzhou Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Time series forecasting with genetic programming
- (2016) Mario Graff et al. Natural Computing
- Seasonal and yearly wind speed distribution and wind power density analysis based on Weibull distribution function
- (2015) Levent Bilir et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications
- (2014) Abul Azad et al. Energies
- An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)
- (2014) Camilo Carrillo et al. Energies
- Application of probabilistic wind power forecasting in electricity markets
- (2012) Z. Zhou et al. WIND ENERGY
- Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean
- (2010) S.A. Akdağ et al. APPLIED ENERGY
- The wind power of Mexico
- (2010) Q. Hernández-Escobedo et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Wind energy potential assessment in Naxos Island, Greece
- (2009) Ioannis Fyrippis et al. APPLIED ENERGY
- A new method to estimate Weibull parameters for wind energy applications
- (2009) Seyit A. Akdağ et al. ENERGY CONVERSION AND MANAGEMENT
- Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method
- (2009) E. Cadenas et al. RENEWABLE ENERGY
- Generalized Linear Models for Site-Specific Density Forecasting of U.K. Daily Rainfall
- (2008) Max A. Little et al. MONTHLY WEATHER REVIEW
- A review of wind speed probability distributions used in wind energy analysis
- (2008) J.A. Carta et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now