A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting

IEEE Access ◽

10.1109/access.2018.2889814 ◽

2019 ◽

Vol 7 ◽

pp. 3383-3389 ◽

Author(s):

Lishan Liu ◽

Ning Jia ◽

Lei Lin ◽

Zhengbing He

Keyword(s):

Feature Selection ◽

Traffic Forecasting ◽

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Notice of Retraction: Effective feature selection for short-term earthquake prediction using Neuro-Fuzzy classifier

2010 Second IITA International Conference on Geoscience and Remote Sensing ◽

10.1109/iita-grs.2010.5602504 ◽

2010 ◽

Author(s):

Leila Dehbozorgi ◽

Fardad Farokhi

Keyword(s):

Feature Selection ◽

Earthquake Prediction ◽

Fuzzy Classifier ◽

Neuro Fuzzy ◽

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A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting

Applied Energy ◽

10.1016/j.apenergy.2021.117912 ◽

2022 ◽

Vol 305 ◽

pp. 117912

Author(s):

Hakan Acikgoz

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Solar Radiation ◽

Convolutional Neural Networks ◽

Novel Approach ◽

Deep Feature ◽

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Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2016.2586049 ◽

2017 ◽

Vol 21 (1) ◽

pp. 116-130 ◽

Author(s):

Grzegorz Dudek

Keyword(s):

Feature Selection ◽

Immune System ◽

Artificial Immune System ◽

Load Forecasting ◽

Local Feature ◽

Artificial Immune ◽

Short Term Load Forecasting ◽

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Genetic Feature Selection for Very Short-Term Heavy Rainfall Prediction

Convergence and Hybrid Information Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-32645-5_40 ◽

2012 ◽

pp. 312-322 ◽

Author(s):

Jae-Hyun Seo ◽

Yong-Hyuk Kim

Keyword(s):

Feature Selection ◽

Heavy Rainfall ◽

Rainfall Prediction ◽

Genetic Feature ◽

Selection For ◽

Genetic Feature Selection

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A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

Applied Energy ◽

10.1016/j.apenergy.2017.01.043 ◽

2017 ◽

Vol 190 ◽

pp. 1245-1257 ◽

Author(s):

Cong Feng ◽

Mingjian Cui ◽

Bri-Mathias Hodge ◽

Jie Zhang

Keyword(s):

Feature Selection ◽

Data Driven ◽

Deep Feature ◽

Wind Forecasting ◽

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Hybrid filter–wrapper feature selection for short-term load forecasting

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2014.12.014 ◽

2015 ◽

Vol 40 ◽

pp. 17-27 ◽

Author(s):

Zhongyi Hu ◽

Yukun Bao ◽

Tao Xiong ◽

Raymond Chiong

Keyword(s):

Feature Selection ◽

Load Forecasting ◽

Hybrid Filter ◽

Short Term Load Forecasting ◽

Selection For ◽

Wrapper Feature Selection

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Feature selection for accurate short-term forecasting of local wind-speed

2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA) ◽

10.1109/iwcia.2015.7449474 ◽

2015 ◽

Author(s):

Usman Sanusi ◽

David Corne

Keyword(s):

Feature Selection ◽

Selection For ◽

Short Term Forecasting

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A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting

Intelligent Distributed Computing XII - Studies in Computational Intelligence ◽

10.1007/978-3-319-99626-4_18 ◽

2018 ◽

pp. 204-214 ◽

Author(s):

Juan S. Angarita-Zapata ◽

Isaac Triguero ◽

Antonio D. Masegosa

Keyword(s):

Algorithm Selection ◽

Traffic Forecasting ◽

Preliminary Study ◽

Selection For ◽

Automatic Algorithm Selection ◽

Automatic Algorithm

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An Accurate Very Short-Term Electric Load Forecasting Model with Binary Genetic Algorithm Based Feature Selection for Microgrid Applications

Electric Power Components and Systems ◽

10.1080/15325008.2018.1509911 ◽

2018 ◽

Vol 46 (14-15) ◽

pp. 1570-1579 ◽

Author(s):

Yordanos Kassa Semero ◽

Jianhua Zhang ◽

Dehua Zheng ◽

Dan Wei

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Load Forecasting ◽

Forecasting Model ◽

Electric Load ◽

Binary Genetic Algorithm ◽

Selection For ◽

Electric Load Forecasting

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Composite quantile regression extreme learning machine with feature selection for short-term wind speed forecasting: A new approach

Energy Conversion and Management ◽

10.1016/j.enconman.2017.09.029 ◽

2017 ◽

Vol 151 ◽

pp. 737-752 ◽

Author(s):

Weiqin Zheng ◽

Xiangang Peng ◽

Di Lu ◽

Dan Zhang ◽

Yi Liu ◽

...

Keyword(s):

Feature Selection ◽

Quantile Regression ◽

Extreme Learning Machine ◽

Composite Quantile Regression ◽

New Approach ◽

Wind Speed Forecasting ◽

Selection For ◽

Learning Machine

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