A methodology for energy multivariate time series forecasting in smart buildings based on feature selection

Energy and Buildings ◽

10.1016/j.enbuild.2019.05.021 ◽

2019 ◽

Vol 196 ◽

pp. 71-82 ◽

Cited By ~ 17

Author(s):

Aurora González-Vidal ◽

Fernando Jiménez ◽

Antonio F. Gómez-Skarmeta

Keyword(s):

Time Series ◽

Feature Selection ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Smart Buildings

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Mutual information based feature selection for multivariate time series forecasting

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554480 ◽

2016 ◽

Cited By ~ 3

Author(s):

Tianhong Liu ◽

Haikun Wei ◽

Kanjian Zhang ◽

Weili Guo

Keyword(s):

Time Series ◽

Feature Selection ◽

Mutual Information ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Selection For

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Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction

Artificial Intelligence in Medicine ◽

10.1016/j.artmed.2020.101818 ◽

2020 ◽

Vol 104 ◽

pp. 101818 ◽

Cited By ~ 1

Author(s):

Fernando Jiménez ◽

José Palma ◽

Gracia Sánchez ◽

David Marín ◽

M.D. Francisco Palacios ◽

...

Keyword(s):

Time Series ◽

Feature Selection ◽

Antibiotic Resistance ◽

Multivariate Time Series ◽

Time Series Forecasting

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A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz45933.2021.9494439 ◽

2021 ◽

Author(s):

Rafael R. C. Silva ◽

Walmir Matos Caminhas ◽

Petronio Candido de Lima e Silva ◽

Frederico Gadelha Guimaraes

Keyword(s):

Time Series ◽

Decision Tree ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Fuzzy Decision ◽

Fuzzy Decision Tree ◽

Decision Tree Method ◽

Tree Method

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Multivariate Time Series Forecasting Based Cloud Computing For Consumer Price Index Using Deep Learning Algorithms

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) ◽

10.1109/isriti51436.2020.9315465 ◽

2020 ◽

Author(s):

Soffa Zahara ◽

Sugianto

Keyword(s):

Time Series ◽

Cloud Computing ◽

Deep Learning ◽

Price Index ◽

Multivariate Time Series ◽

Learning Algorithms ◽

Consumer Price Index ◽

Time Series Forecasting

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Multivariate Time Series Forecasting with Dilated Residual Convolutional Neural Networks for Urban Air Quality Prediction

Arabian Journal for Science and Engineering ◽

10.1007/s13369-020-05109-x ◽

2021 ◽

Author(s):

Meriem Benhaddi ◽

Jamal Ouarzazi

Keyword(s):

Neural Networks ◽

Time Series ◽

Air Quality ◽

Convolutional Neural Networks ◽

Multivariate Time Series ◽

Urban Air Quality ◽

Time Series Forecasting ◽

Urban Air ◽

Quality Prediction ◽

Air Quality Prediction

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A Neural Networks Based Method for Multivariate Time-Series Forecasting

IEEE Access ◽

10.1109/access.2021.3075063 ◽

2021 ◽

pp. 1-1

Author(s):

Shaowei Li ◽

He Huang ◽

Wei Lu

Keyword(s):

Neural Networks ◽

Time Series ◽

Multivariate Time Series ◽

Time Series Forecasting

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Multivariate Time Series Forecasting exploiting Tensor Projection Embedding and Gated Memory Network

10.1109/iwqos52092.2021.9521337 ◽

2021 ◽

Author(s):

Zhenxiong Yan ◽

Kun Xie ◽

Xin Wang ◽

Dafang Zhang ◽

Gaogang Xie ◽

...

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Memory Network

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Enhancing Forecasting Performance of Multivariate Time Series Using New Hybrid Feature Selection

Communications in Computer and Information Science - Emerging Intelligent Computing Technology and Applications ◽

10.1007/978-3-642-31837-5_54 ◽

2012 ◽

pp. 373-380

Author(s):

Roselina Sallehuddin ◽

Siti Mariyam Shamsuddin ◽

Noorfa Haszlinna Mustafa

Keyword(s):

Time Series ◽

Feature Selection ◽

Multivariate Time Series ◽

Forecasting Performance

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A Robust Approach for Multivariate Time Series Forecasting

Proceedings of the Eighth International Symposium on Information and Communication Technology - SoICT 2017 ◽

10.1145/3155133.3155172 ◽

2017 ◽

Cited By ~ 2

Author(s):

Ning Pang ◽

Fengjing Yin ◽

Xiaoyu Zhang ◽

Xiang Zhao

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Robust Approach

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Feature Selection for Support Vector Machines in Financial Time Series Forecasting

Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents - Lecture Notes in Computer Science ◽

10.1007/3-540-44491-2_38 ◽

2000 ◽

pp. 268-273 ◽

Cited By ~ 5

Author(s):

L. J. Cao ◽

Francis E. H. Tay

Keyword(s):

Time Series ◽

Feature Selection ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines ◽

Selection For

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