Feature Selection used for Wind Speed Forecasting with Data Driven Approaches-Reference-Cited by-同舟云学术

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Feature Selection used for Wind Speed Forecasting with Data Driven Approaches

Published:2015-10 Issue:5 Volume:8 Page:124-127
ISSN:1791-9320
Container-title:Journal of Engineering Science and Technology Review
language:
Short-container-title:JESTR

Author:

Senthil Kumar P., ,Lopez Daphne,

Publisher

International Hellenic University

Subject

General Engineering

Cited by 21 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. A hybrid physics-based and data-driven model for intra-day and day-ahead wind power forecasting considering a drastically expanded predictor search space;Applied Energy;2024-08

2. Feature Selection by Binary Differential Evolution for Predicting the Energy Production of a Wind Plant;Energies;2024-05-18

3. A Study of Computer Vision, Deep Learning, and Machine Learning Techniques for Forecasting Solar Power and Renewable Energy;Advances in Environmental Engineering and Green Technologies;2024-05-17

4. Meteorological Subset Selection for Multidimensional Wind Speed Prediction;2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA);2024-03-01

5. Prediction of air quality pollutants using artificial intelligence techniques: A review;AIP Conference Proceedings;2024

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