A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction
Authors
Keywords
Ultra-short-term prediction, Wind speed, CEEMD, Genetic algorithm, FNN Model, Markov process
Journal
JOURNAL OF CLEANER PRODUCTION
Volume 292, Issue -, Pages 125981
Publisher
Elsevier BV
Online
2021-01-20
DOI
10.1016/j.jclepro.2021.125981
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: A mini review
- (2020) Paul A. Adedeji et al. JOURNAL OF CLEANER PRODUCTION
- A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment
- (2020) Guoqiang Niu et al. JOURNAL OF CLEANER PRODUCTION
- Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
- (2019) Aasim et al. RENEWABLE ENERGY
- An analysis of the wind power development factors by Generalized Bass Model: A case study of China's eight bases
- (2019) Zhen-Yu She et al. JOURNAL OF CLEANER PRODUCTION
- Renewable energy prediction: A novel short-term prediction model of photovoltaic output power
- (2019) Ling-Ling Li et al. JOURNAL OF CLEANER PRODUCTION
- Development of NOx reduction system utilizing artificial neural network (ANN) and genetic algorithm (GA)
- (2019) Yeonju Shin et al. JOURNAL OF CLEANER PRODUCTION
- Sustainable supplier selection under must-be criteria through Fuzzy inference system
- (2019) Naveen Jain et al. JOURNAL OF CLEANER PRODUCTION
- Prediction short-term photovoltaic power using improved chicken swarm optimizer - Extreme learning machine model
- (2019) Zhi-Feng Liu et al. JOURNAL OF CLEANER PRODUCTION
- A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic
- (2019) Yagang Zhang et al. ENERGY CONVERSION AND MANAGEMENT
- An adaptive hybrid model for day-ahead photovoltaic output power prediction
- (2019) Jinliang Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
- (2019) Ling-Ling Li et al. JOURNAL OF CLEANER PRODUCTION
- Short-term wind speed prediction model based on GA-ANN improved by VMD
- (2019) Yagang Zhang et al. RENEWABLE ENERGY
- Wind Speed Interval Prediction Based on Lorenz Disturbance Distribution
- (2019) Yagang Zhang et al. IEEE Transactions on Sustainable Energy
- A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
- (2018) Jingjing Song et al. APPLIED ENERGY
- Application of support vector machine models for forecasting solar and wind energy resources: A review
- (2018) Alireza Zendehboudi et al. JOURNAL OF CLEANER PRODUCTION
- Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China
- (2018) Cunbin Li et al. JOURNAL OF CLEANER PRODUCTION
- Power system balancing for deep decarbonization of the electricity sector
- (2016) Ana Mileva et al. APPLIED ENERGY
- Using data-driven approach for wind power prediction: A comparative study
- (2016) Ehsan Taslimi Renani et al. ENERGY CONVERSION AND MANAGEMENT
- Short-term wind speed forecasting using empirical mode decomposition and feature selection
- (2016) Chi Zhang et al. RENEWABLE ENERGY
- Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm
- (2015) Hamed Chitsaz et al. ENERGY CONVERSION AND MANAGEMENT
- New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks
- (2015) Hui Liu et al. RENEWABLE ENERGY
- Current status and future advances for wind speed and power forecasting
- (2014) Jaesung Jung et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity
- (2011) J. H. Williams et al. SCIENCE
- ARMA based approaches for forecasting the tuple of wind speed and direction
- (2010) Ergin Erdem et al. APPLIED ENERGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started