An Improved Metaheuristic Method-Based Neural Network for Predicting Wind Turbine Power-Reference-Cited by-同舟云学术

An Improved Metaheuristic Method-Based Neural Network for Predicting Wind Turbine Power

Published:2022-12-05 Issue: Volume: Page:1-22
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Ahilan T.¹,Yoganand S.²,Prasad D. V. S. S. S. V.³

Affiliation:

1. Department of Mechanical Engineering, St. Joseph College of Engineering, Chennai, Tamil Nadu, India

2. Computer Technology, Anna University, Chennai, Tamil Nadu, India

3. Aditya College of Engineering, Surampalem, Andhra Pradesh, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2145663

Reference44 articles.

1. Exponential discriminant analysis for fault diagnosis

2. Adil, M., S. Tavakkol, and R. Madani. 2021. Rapid convergence of first-order numerical algorithms via adaptive conditioning. arXiv preprint arXiv:2103.00736.

3. Gaussian models for probabilistic and deterministic Wind Power Prediction: Wind farm and regional

4. Average Monthly Wind Power Forecasting Using Fuzzy Approach

5. Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction

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