Wind power prediction based on wind speed forecast using hidden Markov model-Reference-Cited by-同舟云学术

Wind power prediction based on wind speed forecast using hidden Markov model

Published:2022-08-17 Issue:1 Volume:42 Page:101-123
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Ghasvarian Jahromi Khatereh¹,Gharavian Davood¹^ORCID,Mahdiani Hamid Reza²^ORCID

Affiliation:

1. Faculty of Electrical Engineering Shahid Beheshti University Tehran Iran

2. Faculty of Computer Science and Engineering Shahid Beheshti University Tehran Iran

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2889

Reference69 articles.

1. A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

2. Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

3. A novel hybrid approach for predicting wind farm power production based on wavelet transform, hybrid neural networks and imperialist competitive algorithm

4. Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm

5. Wind Power Prediction by a New Forecast Engine Composed of Modified Hybrid Neural Network and Enhanced Particle Swarm Optimization

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