A hybrid model of generalized regression neural network and radial basis function neural network for wind power forecasting in Indian wind farms-Reference-Cited by-同舟云学术

A hybrid model of generalized regression neural network and radial basis function neural network for wind power forecasting in Indian wind farms

Published:2020-01-02 Issue:1 Volume:23 Page:49-63
ISSN:0972-0510
Container-title:Journal of Statistics and Management Systems
language:en
Short-container-title:Journal of Statistics and Management Systems

Author:

Varanasi Jyothi¹,Tripathi M. M.¹

Affiliation:

1. Department of Electrical Engineering, Delhi Technological University, New Delhi 110042, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720510.2020.1721598

Reference18 articles.

1. J. Varanasi and M. M. Tripathi, “A comparative study of wind power forecasting techniques — A review article,” 2016 3rd International Conference on Computing for Sustainable Global Development (INDIA-Com), New Delhi, 2016, pp. 3649-3655.

2. Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model

3. ANNSTLF-a neural-network-based electric load forecasting system

4. Conditional weighted combination of wind power forecasts

5. Comparison of two new short-term wind-power forecasting systems

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating discrete wavelet transform with neural networks and machine learning for fault detection in microgrids;International Journal of Electrical Power & Energy Systems;2024-01

2. A carbon emission prediction model of mechanical parts machining driven by structural design parameters;2023-11-20

3. Estimation of wind power in coastal areas using a Model based on the learning of a Multilayer Perceptron: Case of Douala, Cameroon;E3S Web of Conferences;2022

4. An approach towards missing data management using improved GRNN-SGTM ensemble method;Engineering Science and Technology, an International Journal;2021-06

5. An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant;Energy;2021-05